Startseite Geologie und Mineralogie Application of isometric transformation and robust estimation to compare the measurement results of steel pipe spools
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Application of isometric transformation and robust estimation to compare the measurement results of steel pipe spools

  • Świętoń Tomasz EMAIL logo , Kadaj Roman , Oleniacz Grzegorz und Skrzypczak Izabela
Veröffentlicht/Copyright: 19. September 2020
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Abstract

Production of prefabricated pipe spools for the needs of the oil and gas industry requires precise determination of their shape and dimensions. The crucial moment of production is to measure the spool being built, compare it with the design and define the geometry corrections that should be applied at the construction stage. At present, the comparison of spools is usually done in a manual manner in a CAD program or other software dedicated for this purpose and is implemented by combining variously defined translations and rotations. This approach is time-consuming and the results strongly depend on the survey engineer’s experience. In this article, a method of comparing the shape of two spools, based on isometric transformation and robust estimation, has been proposed. This method can be used to automate the comparison process. In standard approach, applied by both design engineers and assemblers, spools are described by a set of coordinates and, in the case of flanges, by sets of appropriately defined angular values. A method of flange description suitable for use in the isometric transformation process has been proposed, and potential problems that may appear at the implementation stage of the algorithm have been discussed. The proposed method makes it possible to determine the elements of a spool that do not fit into the design project in a way that allows minimizing the number of corrections at the construction stage.

1 Introduction

One of the tasks carried out by survey engineers working in the offshore oil and gas industry is the measurement of pipe spools [14,15,16,17]. Spools can be defined as prefabricated components consisting of connected, welded steel elements (such as pipes, flanges and elbows) of various shapes and sizes (Figure 1). Components prepared in that manner are used during the renovation and modernization of industrial installations located on offshore oil platforms. Due to the difficulty of maintenance work in high seas, fragments of installations which are to be replaced are prepared in factories onshore and then transported to the final assembly place. Limitations concerning the scope of potentially hazardous works carried out on an oil rig (e.g., welding, cutting or grinding) make a bolted flange virtually the only possible method of connecting a prefabricated pipe spool to the existing installations.

Figure 1 Schematic view of example spool.
Figure 1

Schematic view of example spool.

This method of assembly does not pose a risk associated with explosion and does not require stopping the work of the entire platform, which would generate huge costs. For this reason, prefabricated spools are most often ended with flanges.

The process of building a prefabricated pipe spool involves assembling previously prepared basic elements (fragments of pipes, elbows and flanges) into one unit. Due to the need to precisely fit the spool to be built into the existing installations at the place of the final assembly, shape measurement is an important part of the whole process. The purpose of the measurement is to ensure geometrical compatibility of the spool to be constructed with the design. The size of the finished spools, reaching sometimes even few dozens of meters, and the expected sub-millimeter accuracy of the assembly necessitate the use of the traditional methods of surveying for this purpose – i.e., maximum precision total stations along with the appropriate sets of prisms.

At the final assembly site on the oil rig, a local reference system is most often established. Based on this system, measurements of existing installations are carried out, which later form the basis for the development of the design project. In this system, designers determine both the position and other parameters of the prepared spool. The design project contains information about the location and size of the key elements of the spool and a detailed description of the direction and rotation of the flanges at the place of the final assembly.

After the first (initial) arrangement of all basic elements, the process of building a prefabricated spool is mainly accomplished through repetition of the following steps: measurement, comparison of the geometry of the spool to be built with the design along with specifying suggested corrections and implementations of the changes in the spool being built. These steps are repeated until the desired compliance with the design project is achieved. For obvious reasons, the measurement is taken in the local reference system, available at the construction site, not in the system related to the place of the final assembly in which the design project is made. This system can be defined by a local set of control points established for the needs of construction or, in the case of smaller spools, which can be measured from a single setup, and it can be a random coordinate system related to the instrument at the time of measurement.

The results of the measurement of angular and linear values are recalculated to obtain a set of coordinates XYZ of crucial points of the spool, such as intersection points of axes of pipes (elbows) and a set of parameters describing the flange. During construction, the entire spool is arranged in a manner convenient for assembly (Figure 2), which means that its position relative to the local reference system is completely different from the position relative to the reference system at the place of final assembly.

Figure 2 Pipe spools under construction.
Figure 2

Pipe spools under construction.

The key moment of the whole process is the comparison of the measurement results of the pipe spool being constructed with the design. Its purpose is to determine the differences between what has been built and the design and thus suggest changes that should be made in the geometry of the spool. Due to the efficiency of construction works, changes should be suggested, so that their number is as small as possible; however, the size of the changes does not necessarily have to be small. To illustrate, if it is only possible, it is better to suggest one big change rather than a few smaller ones, even if both sets of proposed corrections ultimately lead to a similar result.

At present, survey engineers performing measurements in factories use relatively simple methods of comparison. Both the design and the pre-processed measurement results of the spool being built are entered into a CAD program or other specialized software. Then with the use of rotations and translations, the measurement results are brought to a position as close as possible to the design. Differences between the design and measurement results are determined by comparing the obtained coordinates and flange parameters. The rotations and translations themselves can be defined in a variety of ways, often quite sophisticated, but they are always these two elementary activities. The sequence of implemented translations and rotations depends on the experience and intuition of the survey engineer, but the aim is to compare the spools, so that the number of differences is minimal. Such a method of comparison is effective and usually gives satisfactory results but the whole process can be time-consuming. The time necessary to perform the comparison depends on both the complexity of the spool and the survey engineer’s experience.

Additionally, during the construction of one spool, the entire procedure is repeated many times, which means that the automation of the comparison process could contribute to the efficiency of the survey engineer’s work and increase the quality of the work.

2 Research problem

An important research problem is the development of a method that allows accelerating and increasing the reliability of comparison between two pipe spools by automating the computational part of the process. It is extremely important in such a complex measurement and assembly conditions. Therefore, a method for automating the task of comparing spools with the use of isometric transformation and robust estimation has been proposed to replace traditional computational methods based on repeated translations and rotations of the spool model. Both isometric transformation and robust estimation methods are known and widely used in various tasks in the field of surveying engineering (e.g., [1,2,5,11,12,13]); however, the authors did not find scientific publications or practical implementation of the comparison process of spools using both methods. Isometric transformation (without changing the scale) allows recalculating a set of points with XYZ coordinates from the input to the output coordinate system by combining translations and rotations. Robust estimation is a set of methods for the solution of overdetermined system of equations in which the influence of outliers on the final result of the solution is minimal. It is often used, for example, to search for mistakes in surveying observations.

Some proposals for automating that process have already been presented in earlier articles (e.g., [14,15]); however, they are mainly related to using laser scanner data, whereas it is the total station measurement methods usually used in everyday practice. Such a method fits in wider trend of automating measurement processes [9].

3 Isometric transformation and robust estimation

The general isometric transformation model assumes that on the basis of two coordinate sets of control points:

  • {(xk, yk, zk): k = 1, 2,…,s} subset of input coordinates,

  • {(Xk, Yk, Zk): k = 1, 2,…,s} subset of output coordinates,

a functional model of isometric transformation is determined [3]:

(1)X=Rx+T

where:

  • x = [x, y, z]T – vector of input coordinates,

  • X = [X, Y, Z]T – vector of output coordinates,

  • T = [TX, TY, TZ]T – translation vector,

  • R – rotation matrix which is a function of rotation angles α, β, γ around coordinates system axes:

(2)R=R(α,β,γ)=RγRβRα

where:

(3)Rα=1000cos(α)sin(α)0sin(α)cos(α),Rβ=cos(β)0sin(β)010sin(β)0cos(β),Rγ=cos(γ)sin(γ)0sin(γ)cos(γ)0001

Such a defined transformation is the composition of rotations and translations without changing the scale of the entire system. The estimation of parameters is based on the sets of control points and is solved using the least squares method (LSM):

(4)Xk+Vk=R(α,β,γ)xk+Tk=1,2,sφ(α,β,γ,TX,TY,TZ)=k=1sVkTVk=min.

where:

  • Vk – vector of residuals,

  • φ(α, β, γ, TX, TY, TZ) – minimized function.

The above task is usually solved by the standard Gauss–Newton method.

Robust estimation can be implemented in various ways. A common method is the use of weight function which modifies the weight matrix during the iterative solving of an equation system in such a way that the weights of observations that appear to be outliers are gradually reduced. Examples of weight functions described in literature are, e.g., Huber method [4], Danish method [10], Method of Growing Rigor [8], or Choice Rule of Alternative method [7]. The selection of the best weight function for a given task depends on various criteria, e.g. [8]. However, as shown in [6], a more appropriate, theoretically justified method of robust estimation is the application of the rule which is a modification of least module method:

(5)Xk+Vk=R(α,β,γ)xk+Tk=1,2,sφ(α,β,γ,TX,TY,TZ)=k=1s(|VX+|VY+|VZ|)k=min.

The least module method, due to discontinuity of second derivatives, is impossible to be solved by Newtonian methods. In practice using regularized objective function is suggested. It leads to the following equation:

(6)Xk+Vk=Rα,β,γ xk+Tk=1,2,...sφα,β,γ,TX,TY,TZ=sk=1VX2+c2+VY2+c2+VZ2+c2k=min.

where c denotes numerical parameter, larger than zero, thus (V2 + c)1/2 ≥ |V|, if c > 0.

Replacement of the absolute value by square root with parameter c allows using classical Newtonian methods to minimize the objective function. This parameter should be chosen empirically depending on a given task. In practical implementation for the problem described in this article, value c was assumed as:

(7)c=0.01μ

where μ denotes a priori standard deviation of single coordinate.

The development of the minimum conditions leads to normal equations in the form analogous to LSM but with a diagonal weight matrix, whose elements are a function of corrections. Since the correction depends on the value of unknowns, the resulting equation is the basis for the iterative process. The weight matrix is modified during each iteration.

4 Standard description of a flange

Flanges are very important elements of each spool. With the help of flanges, the entire spool is joined with the existing installations at the place of the final assembly [19]. The shape and size of the flange itself is determined at the stage of its production by metrological methods, the accuracy of which significantly surpasses surveying techniques. Therefore, the measurement of their dimensions at the stage of constructing the spool is only of control importance. It is crucial, from the point of view of the survey engineer taking the measurement of the prefabricated spool, to determine how the flange was attached to the prefabricated structure.

Both the design engineers and people who assemble the pipe spools in the factory use a certain system of determining the position and direction of the flange in relation to the target coordinate system. The standard parameters describing the flange are:

  1. XYZ coordinates of tie point (TP) coordinates, which determine the position of the flange and the angles describing the direction in which the flange’s face is directed and how it is rotated. A TP denotes the point at the intersection of the flange’s face and the main axis of the flange symmetry (Figure 3).

  2. Angles defining the direction:

  1. Horizontal bearing (BHz): horizontal deflection which is in fact the azimuth angle of the face (Figure 3a).

  2. Vertical bearing (BV): vertical deflection determining the angle value between the horizontal plane and the normal vector of the face (Figure 3b).

  1. The angle which determines the position of the bolt holes. The flange is always constructed in such a way that the holes are evenly distributed over the entire circumference of the flange’s face.

The position of the holes is determined by the angle of rotation (CB) of the flange around the main axis of symmetry. It is defined as the angle between the lines P and M. The straight line P can be defined in two ways: as the intersection of the flange’s face with the vertical plane containing the main symmetry axis S (Figure 4a) or as the intersection of the horizontal plane containing the TP with the flange’s face (Figure 4b).

Figure 3 (a) Horizontal bearing BHz, (b) vertical bearing BV; S – main axis of the flange symmetry; TP – tie point.
Figure 3

(a) Horizontal bearing BHz, (b) vertical bearing BV; S – main axis of the flange symmetry; TP – tie point.

Figure 4 Two ways of P line definition: a) as the line of intersection of the vertical plane containing the TP and normal to face; b) as the line of intersection of the horizontal plane containing the TP.
Figure 4

Two ways of P line definition: a) as the line of intersection of the vertical plane containing the TP and normal to face; b) as the line of intersection of the horizontal plane containing the TP.

The straight line M can also be defined in two ways. For flanges referred to in the project documentation as “one-bolt square” this is the same as the straight line B1 connecting the flange TP with the center of the hole near the line P (Figure 5b). For flanges referred to as “two-bolt square” it is a bisector of an angle between lines B1 and B2, where the lines B1 and B2 pass through the TP and the bolt hole centers (Figure 5a).

Figure 5 Two ways of M line definition: (a) two-bolt square flange; (b) one-bolt square flange.
Figure 5

Two ways of M line definition: (a) two-bolt square flange; (b) one-bolt square flange.

5 Flange description for isometric transformation

The concept of isometric transformation assumes that both input data and result data are sets of points with XYZ coordinates; therefore, before using the transformational procedures it is necessary to change the description of the flange and to define it using a set of coordinates. It is vital to select points that should be located so as to clearly define the position, direction and rotation of the flange. The correction values of individual coordinates describing the flange, used in the objective function, should be proportional to the corrections of other points defining the spool.

Too large or too small correction values of the points describing the flange could give an effect similar to increasing or decreasing the LSM weight of the flange in the transformation process of the whole spool.

When describing the measured flange, the design values of the flange parameters defined in the previous chapter and deflections from these values are often given. Although basically all (except the coordinates of the TP) the parameters are angular values, the deflections are determined in millimeters as the displacement on the edge of the flange. Such a method of providing deflections facilitates their interpretation by workers who build prefabricates in a factory. In order to maintain proper proportions between corrections received during the transformation process, the points describing the flange should be chosen in such a manner that the size of corrections correspond to the linear values of deflections on the edge of the flange. Thus, points describing the flange are as follows (Figure 6):

  1. Defining the position of the flange – TP.

  2. Determining the direction of the flange’s face – point D located at the end of the normal vector of the face attached at the TP with a length equal to the flange radius. The components of the normal vector can be calculated from the horizontal and vertical bearing parameters as:

    (8)N=ABC=sin(BHz)cos(BV)cos(BHz)cos(BV)sin(BV).

    The coordinates of point D = [XD, YD, ZD]T are calculated based on the coordinates of the point TP = [XTP, YTP, ZTP]T:

    (9)D=TP+Nr

    where r denotes the radius of the flange’s face.

  3. Flange’s rotation – point B located at the intersection of the edge of the face and the line joining the TP and the center of the bolt hole. Only one such point would be sufficient to determine the rotation; however, due to the problems with the identification of corresponding holes, described later in this article, it is necessary to determine the coordinates of points for all holes.

Figure 6 Points describing the flange for transformation needs.
Figure 6

Points describing the flange for transformation needs.

The determination of the coordinates of the point starts from the calculation of the vector P connecting the TP and the edge of the flange (Figure 4). Assuming that the P is defined as the line of intersection of the horizontal plane containing the TP with the flange’s face (Figure 4b), then it is calculated as the cross product of the vertical unit vector and the normal vector:

(10)P=N×001=BA0.

Then vector P is scaled, so that it has a length equal to flange’s face radius r:

(11)Pr=Pr|P|.

In the next step, the coordinates of the points Bi = [XB, YB, ZB]T for n successive bolt holes are calculated as:

(12)Bi=TP+F(Pr,N,βs+(i1)×βn)

where:

i – bolt hole index,

βn – the angle between the adjacent holes which is calculated as 360°/n (n is the number of bolt holes),

βs – the angle between the vector Pr and the line connecting the TP and the center of the hole closest to Pr. Depending on the type of flange, it is: 0 for “one-bolt square flange” or βn/2 for “two-bolt square flange.”

F(V1, V2, β) – a function whose task is to rotate vector V1 around vector V2 by an angle β. In practice, it can be implemented in various ways. An example of the implementation of such a function can be found in ref. [18]

6 Comparison of spools

In the proposed comparison method, we use two sets of coordinates of points defining the entire set as the input data: design ones and those in a system related to the place of measurement. Both sets contain mainly points describing the intersections of the axes of straight pipes (elbows), points describing the flanges and possibly other points relevant to the shape of the spool. These sets are treated as control points and, based on them, isometric transformation together with robust estimation are conducted (compare the formulas (6)). Thanks to the robust estimation, the largest deflections are expected at outliers’ points, while deflections should be small on elements matching each other. This meets the assumptions made at the beginning of the article.

Correct preparation of input data requires pairing the control points from both sets. If the whole process is to be carried out automatically, this can be done, e.g., by keeping an identical naming system of control points in the project and in the data from the measurement. However, there is a problem with the correct identification of corresponding bolt holes. The individual holes are not distinguished in any “physical” way. Therefore, it is difficult to develop a naming system that would allow for unambiguous matching of corresponding holes as early as at the stage of measuring the flange which is built.

The solution is to perform an isometric transformation twice. For the first time, the points defining the position of the bolt holes (12) are excluded from the set of control points. The coordinates of these points are only transformed to the output coordinate system based on the transformation parameters determined on the basis of the remaining points. Then the holes lying closest to each other (after transformation) are “paired” and considered corresponding to each other. In the next step, one pair of points defining one hole is added to the original (before transformation) sets of control points and the final transformation is performed along with the robust estimate. The remaining points determining the location of the holes are rejected because basically each of them carries similar information about the flange’s rotation; therefore, using more than one is not justified.

The last step is to compare the values of coordinates and angles describing the flanges and the whole set after transformation (in the output system). For this purpose, it is necessary to recalculate the angular parameters of the flange based on the coordinates describing it. Horizontal bearing BHz can be calculated as:

(13)BHz=α,ifA0andB0BHz=πα,ifA<0andB0BHz=π+α,ifA<0andB<0BHz=2πα,ifA0andB<0

where α = arccos(A/r); A = XDXTP; B = YDYTP.

Vertical bearing is, respectively:

(14)BV=arcsin(C/r)

where C = ZDZTP.

Flange’s rotation CB can be calculated as the spatial angle between the P vector and the vector between the TP and the B point that lies closest to the P vector.

7 Discussion

The proposed method allows to accelerate and improve the comparison of two steel pipe spools by eliminating the time-consuming and experience-dependent iterative process of moving, rotating and matching characteristic points. Thanks to the use of robust estimation, and it is possible to match spools, so that there are relatively few discrepancies (which, however, can reach significant values). This allows to minimize the number of corrections necessary to apply during the production of pipe spools and thus facilitates the entire construction process.

However, some doubts can be raised. The most important is the inability to unequivocally and quantitatively estimate the quality of the comparison method for spools. There is no single, clearly defined parameter that would make possible to unambiguously state that one method is better than the other. It is not root mean square error (RMSE) based on the deviations between matched models because the goal is not the best fit of both models but to find the minimum amount of corrections. Furthermore, the result of the comparison made by the manual method depends to a large extent on the experience of the survey engineer. Thus, it cannot be unequivocally stated that method described in this article gives numerically better results than the manual method.

A similar problem applies to every application of methods based on robust estimation. On the other hand, practical experience with such methods is definitely positive. They usually speed up the search for mistakes in observational data. In the case of a comparison of spools, fragments of structures that do not fit the project are treated similar to outliers’ observations. Thus, it should be expected that the use of the automatic comparison method will not only significantly reduce the time but also make it easier to find outliers.

Other problems related to the use of this type of method are primarily associated with the possible unstable solution of the system of equations. The simplest spool is a pipe at the ends of which two flanges are placed. A small number of points describing such an element and unfavorable geometry (the points are stretched along one straight line) may cause some numerical problems with correct solution of normal equations.

Despite the doubts expressed above regarding the subjectivity of quality assessment of various spool fitting methods, the proposed method has been implemented in commercial software GEONET Dimensional Control and is currently in the phase of practical tests on real objects.

It seems that in future, it would be useful to extend the method described above with the possibility of weighing selected points or elements of the flange (e.g., all points describing a given flange). Often, spools are built in stages. After the final welding of some part of the spool, further elements are added. During further work, it is assumed that it is not possible to move previously welded fragments; therefore, all corrections suggested by the survey engineer should apply only to the parts not yet welded. In such a situation, a significant increase in the weight of some of the points would result in the fixing of the already existing elements and possible deflections would be shown mainly on newly added fragments.

8 Conclusions

The publication proposes a comparison method of spools, which allows for the automation of a time-consuming part of the production process which is the comparison of the spool to be constructed with the design. The method aims to find non-matching elements and requires description of both spools using a set of coordinates of points. In particular, this applies to flanges, the direction and rotation of which are normally described by means of angular values. The method assumes that non-matching elements can be treated similarly to outliers observed in classical surveying tasks. Thus, the isometric transformation together with the robust estimation facilitate such a comparison. A set of points measured on the spool being built and a set of points describing the designed spool are assumed as control points. The final comparison of the spools requires recalculation of the flanges to angular values.

The proposed method, despite some doubts concerning, first of all, the possible unfavorable distribution of control points and the lack of a clear parameter allowing the assessment of the comparison quality, seems to be a solution that will significantly assist and accelerate the work of a survey engineer during the construction of a pipe spool.


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References

[1] Awange JL, Aduol FWO. An evaluation of some robust estimation techniques in the estimation of geodetic parameters. Surv Rev. 1999;35(273):146–62.10.1179/sre.1999.35.273.146Suche in Google Scholar

[2] Banaś M. A review of robust estimation methods applied in surveying. Geomat Environ Eng. 2012;6(4):13–22.10.7494/geom.2012.6.4.13Suche in Google Scholar

[3] Ghilani CD. Adjustment computations: spatial data analysis, 5th ed. Wiley; 2011.Suche in Google Scholar

[4] Huber P. Robust estimation of a location parameter. Ann Math Stat. 1964;35:73–101.10.1007/978-1-4612-4380-9_35Suche in Google Scholar

[5] Janicka J, Rapinski J. Msplit transformation of coordinates. Surv Rev. 2013;45(331):269–74.10.1179/003962613X13726661625708Suche in Google Scholar

[6] Kadaj R. Eine verrallgemeinerte Klasse von Schatzverfahren mit praktuschen Anwendungen. ZfV4; 1988.Suche in Google Scholar

[7] Kadaj R. Rozwinięcie koncepcji niestandardowej metody estymacji. Geodezja i Kartogr. 1980;XXIX(3–4):185–96.Suche in Google Scholar

[8] Kamiński W, Wiśniewski Z. Analiza wybranych, odpornych na błędy grube, metod wyrównania obserwacji geodezyjnych. Geodezja i Kartogr. 1992;XLI(3–4):173–81, and 183–95.Suche in Google Scholar

[9] Karsznia K. Geodezyjny monitoring obiektów mostowych. Mosty. 2011;6:36–42.Suche in Google Scholar

[10] Krarup T. The danish method, experience and philosophy. DGK Heft; 1983. p. 98.Suche in Google Scholar

[11] Kwaśniak M. Effectiveness of chosen robust estimation methods compared to the level of network reliability. Geodesy Cartography. 2011;60:3–19.10.2478/v10277-012-0014-9Suche in Google Scholar

[12] Mrówczyńska M. Identyfikacja układu odniesienia sieci niwelacyjnej obszaru legnicko-głogowskiego okręgu miedziowego. Acta Sci Pol Geodesia et Descriptio Terrarum. 2010;9(4):27–36.Suche in Google Scholar

[13] Muszyński Z, Mąkolski K, Osada W. Zastosowanie metod estymacji odpornej w geodezyjnych pomiarach pionowych przemieszczeń obiektów budowlanych. Acta Sci Pol,Geodesia et Descriptio Terrarum. 2005;4(1):85–97.Suche in Google Scholar

[14] Nahangi M, Haas CT. Automated 3D compliance checking in pipe spool fabrication. Adv Eng Inform. 2014;28:360–9.10.1016/j.aei.2014.04.001Suche in Google Scholar

[15] Safa M, Shahi A, Nahangi M, Haas CT, Noori H. Automating measurement process to improve quality management for piping fabrication. Structures. 2015;3:71–80.10.1016/j.istruc.2015.03.003Suche in Google Scholar

[16] Sato M, Kojima H. Using laser radar to improve production in pipe spool fabrication. Quality Digest. 2012. Retrieved from https://www.qualitydigest.com/inside/cmsc-article/using-laser-radar-improve-production-pipe-spool-fabrication-081512.html (access: 2019.08.10).Suche in Google Scholar

[17] Shiliang Z, Jin Y. Measurement and quick replacement of pipeline segments in an offshore platform. In: Advanced Materials Research. Vol. 261–263, Trans Tech Publications; 2011. p. 1406–9.10.4028/www.scientific.net/AMR.261-263.1406Suche in Google Scholar

[18] Steven JL. Linear algebra with applications, 9th ed. Pearson Education Limited; 2015.Suche in Google Scholar

[19] Świętoń T, Oleniacz G. Accuracy of steel flanges measurement in renovation and construction work for offshore industry. J Surveying Eng. 2020;146(2):04020006-1–04020006-11.10.1061/(ASCE)SU.1943-5428.0000310Suche in Google Scholar

Received: 2019-06-07
Revised: 2020-02-14
Accepted: 2020-02-20
Published Online: 2020-09-19

© 2020 Świętoń Tomasz et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  30. Plastic failure zone characteristics and stability control technology of roadway in the fault area under non-uniformly high geostress: A case study from Yuandian Coal Mine in Northern Anhui Province, China
  31. Comparison of swarm intelligence algorithms for optimized band selection of hyperspectral remote sensing image
  32. Soil carbon stock and nutrient characteristics of Senna siamea grove in the semi-deciduous forest zone of Ghana
  33. Carbonatites from the Southern Brazilian platform: I
  34. Seismicity, focal mechanism, and stress tensor analysis of the Simav region, western Turkey
  35. Application of simulated annealing algorithm for 3D coordinate transformation problem solution
  36. Application of the terrestrial laser scanner in the monitoring of earth structures
  37. The Cretaceous igneous rocks in southeastern Guangxi and their implication for tectonic environment in southwestern South China Block
  38. Pore-scale gas–water flow in rock: Visualization experiment and simulation
  39. Assessment of surface parameters of VDW foundation piles using geodetic measurement techniques
  40. Spatial distribution and risk assessment of toxic metals in agricultural soils from endemic nasopharyngeal carcinoma region in South China
  41. An ABC-optimized fuzzy ELECTRE approach for assessing petroleum potential at the petroleum system level
  42. Microscopic mechanism of sandstone hydration in Yungang Grottoes, China
  43. Importance of traditional landscapes in Slovenia for conservation of endangered butterfly
  44. Landscape pattern and economic factors’ effect on prediction accuracy of cellular automata-Markov chain model on county scale
  45. The influence of river training on the location of erosion and accumulation zones (Kłodzko County, South West Poland)
  46. Multi-temporal survey of diaphragm wall with terrestrial laser scanning method
  47. Functionality and reliability of horizontal control net (Poland)
  48. Strata behavior and control strategy of backfilling collaborate with caving fully-mechanized mining
  49. The use of classical methods and neural networks in deformation studies of hydrotechnical objects
  50. Ice-crevasse sedimentation in the eastern part of the Głubczyce Plateau (S Poland) during the final stage of the Drenthian Glaciation
  51. Structure of end moraines and dynamics of the recession phase of the Warta Stadial ice sheet, Kłodawa Upland, Central Poland
  52. Mineralogy, mineral chemistry and thermobarometry of post-mineralization dykes of the Sungun Cu–Mo porphyry deposit (Northwest Iran)
  53. Main problems of the research on the Palaeolithic of Halych-Dnister region (Ukraine)
  54. Application of isometric transformation and robust estimation to compare the measurement results of steel pipe spools
  55. Hybrid machine learning hydrological model for flood forecast purpose
  56. Rainfall thresholds of shallow landslides in Wuyuan County of Jiangxi Province, China
  57. Dynamic simulation for the process of mining subsidence based on cellular automata model
  58. Developing large-scale international ecological networks based on least-cost path analysis – a case study of Altai mountains
  59. Seismic characteristics of polygonal fault systems in the Great South Basin, New Zealand
  60. New approach of clustering of late Pleni-Weichselian loess deposits (L1LL1) in Poland
  61. Implementation of virtual reference points in registering scanning images of tall structures
  62. Constraints of nonseismic geophysical data on the deep geological structure of the Benxi iron-ore district, Liaoning, China
  63. Mechanical analysis of basic roof fracture mechanism and feature in coal mining with partial gangue backfilling
  64. The violent ground motion before the Jiuzhaigou earthquake Ms7.0
  65. Landslide site delineation from geometric signatures derived with the Hilbert–Huang transform for cases in Southern Taiwan
  66. Hydrological process simulation in Manas River Basin using CMADS
  67. LA-ICP-MS U–Pb ages of detrital zircons from Middle Jurassic sedimentary rocks in southwestern Fujian: Sedimentary provenance and its geological significance
  68. Analysis of pore throat characteristics of tight sandstone reservoirs
  69. Effects of igneous intrusions on source rock in the early diagenetic stage: A case study on Beipiao Formation in Jinyang Basin, Northeast China
  70. Applying floodplain geomorphology to flood management (The Lower Vistula River upstream from Plock, Poland)
  71. Effect of photogrammetric RPAS flight parameters on plani-altimetric accuracy of DTM
  72. Morphodynamic conditions of heavy metal concentration in deposits of the Vistula River valley near Kępa Gostecka (central Poland)
  73. Accuracy and functional assessment of an original low-cost fibre-based inclinometer designed for structural monitoring
  74. The impacts of diagenetic facies on reservoir quality in tight sandstones
  75. Application of electrical resistivity imaging to detection of hidden geological structures in a single roadway
  76. Comparison between electrical resistivity tomography and tunnel seismic prediction 303 methods for detecting the water zone ahead of the tunnel face: A case study
  77. The genesis model of carbonate cementation in the tight oil reservoir: A case of Chang 6 oil layers of the Upper Triassic Yanchang Formation in the western Jiyuan area, Ordos Basin, China
  78. Disintegration characteristics in granite residual soil and their relationship with the collapsing gully in South China
  79. Analysis of surface deformation and driving forces in Lanzhou
  80. Geochemical characteristics of produced water from coalbed methane wells and its influence on productivity in Laochang Coalfield, China
  81. A combination of genetic inversion and seismic frequency attributes to delineate reservoir targets in offshore northern Orange Basin, South Africa
  82. Explore the application of high-resolution nighttime light remote sensing images in nighttime marine ship detection: A case study of LJ1-01 data
  83. DTM-based analysis of the spatial distribution of topolineaments
  84. Spatiotemporal variation and climatic response of water level of major lakes in China, Mongolia, and Russia
  85. The Cretaceous stratigraphy, Songliao Basin, Northeast China: Constrains from drillings and geophysics
  86. Canal of St. Bartholomew in Seča/Sezza: Social construction of the seascape
  87. A modelling resin material and its application in rock-failure study: Samples with two 3D internal fracture surfaces
  88. Utilization of marble piece wastes as base materials
  89. Slope stability evaluation using backpropagation neural networks and multivariate adaptive regression splines
  90. Rigidity of “Warsaw clay” from the Poznań Formation determined by in situ tests
  91. Numerical simulation for the effects of waves and grain size on deltaic processes and morphologies
  92. Impact of tourism activities on water pollution in the West Lake Basin (Hangzhou, China)
  93. Fracture characteristics from outcrops and its meaning to gas accumulation in the Jiyuan Basin, Henan Province, China
  94. Impact evaluation and driving type identification of human factors on rural human settlement environment: Taking Gansu Province, China as an example
  95. Identification of the spatial distributions, pollution levels, sources, and health risk of heavy metals in surface dusts from Korla, NW China
  96. Petrography and geochemistry of clastic sedimentary rocks as evidence for the provenance of the Jurassic stratum in the Daqingshan area
  97. Super-resolution reconstruction of a digital elevation model based on a deep residual network
  98. Seismic prediction of lithofacies heterogeneity in paleogene hetaoyuan shale play, Biyang depression, China
  99. Cultural landscape of the Gorica Hills in the nineteenth century: Franciscean land cadastre reports as the source for clarification of the classification of cultivable land types
  100. Analysis and prediction of LUCC change in Huang-Huai-Hai river basin
  101. Hydrochemical differences between river water and groundwater in Suzhou, Northern Anhui Province, China
  102. The relationship between heat flow and seismicity in global tectonically active zones
  103. Modeling of Landslide susceptibility in a part of Abay Basin, northwestern Ethiopia
  104. M-GAM method in function of tourism potential assessment: Case study of the Sokobanja basin in eastern Serbia
  105. Dehydration and stabilization of unconsolidated laminated lake sediments using gypsum for the preparation of thin sections
  106. Agriculture and land use in the North of Russia: Case study of Karelia and Yakutia
  107. Textural characteristics, mode of transportation and depositional environment of the Cretaceous sandstone in the Bredasdorp Basin, off the south coast of South Africa: Evidence from grain size analysis
  108. One-dimensional constrained inversion study of TEM and application in coal goafs’ detection
  109. The spatial distribution of retail outlets in Urumqi: The application of points of interest
  110. Aptian–Albian deposits of the Ait Ourir basin (High Atlas, Morocco): New additional data on their paleoenvironment, sedimentology, and palaeogeography
  111. Traditional agricultural landscapes in Uskopaljska valley (Bosnia and Herzegovina)
  112. A detection method for reservoir waterbodies vector data based on EGADS
  113. Modelling and mapping of the COVID-19 trajectory and pandemic paths at global scale: A geographer’s perspective
  114. Effect of organic maturity on shale gas genesis and pores development: A case study on marine shale in the upper Yangtze region, South China
  115. Gravel roundness quantitative analysis for sedimentary microfacies of fan delta deposition, Baikouquan Formation, Mahu Depression, Northwestern China
  116. Features of terraces and the incision rate along the lower reaches of the Yarlung Zangbo River east of Namche Barwa: Constraints on tectonic uplift
  117. Application of laser scanning technology for structure gauge measurement
  118. Calibration of the depth invariant algorithm to monitor the tidal action of Rabigh City at the Red Sea Coast, Saudi Arabia
  119. Evolution of the Bystrzyca River valley during Middle Pleistocene Interglacial (Sudetic Foreland, south-western Poland)
  120. A 3D numerical analysis of the compaction effects on the behavior of panel-type MSE walls
  121. Landscape dynamics at borderlands: analysing land use changes from Southern Slovenia
  122. Effects of oil viscosity on waterflooding: A case study of high water-cut sandstone oilfield in Kazakhstan
  123. Special Issue: Alkaline-Carbonatitic magmatism
  124. Carbonatites from the southern Brazilian Platform: A review. II: Isotopic evidences
  125. Review Article
  126. Technology and innovation: Changing concept of rural tourism – A systematic review
Heruntergeladen am 30.1.2026 von https://www.degruyterbrill.com/document/doi/10.1515/geo-2020-0034/html?lang=de
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