A 3-D geological modeling method and its application to petroleum migration and accumulation simulation

Author(s):  
Qiulin Guo ◽  
Na Wu ◽  
Jifeng Liu ◽  
Ningsheng Chen

<p>Besides the carrier bed, faults and unconformities are important migration pathways for the 3-D petroleum migration and accumulation simulation. The fault is often ignored or used only as simulated grid boundaries in the traditional 3-D geological modeling, so that the transport function of faults is neglected or weakened.</p><p>In view of the fact that the traditional geological modeling method cannot establish the interrelation of carrier-system (the carrier bed, fault, unconformity, etc.), we propose a hybrid-dimensional mesh modeling technology consisting of body (stratum), surfaces (faults and unconformities), lines and points. The stratum mesh cut by a fault consists of stratum body A, stratum body B and fault surface C. There are two methods: (1) The fault is neglected in the modeling of the geological body, in other words, the mesh form and volume remain unchanged; and (2) The fault is considered in the modeling of the geological body, and the geological body on the two sides of the fault are divided into two parts for modeling. We propose the third processing method. The fault is considered in the modeling of the geological body, and the geological bodies on the two sides of the fault are divided into two parts for modeling, forming stratum meshes. In addition, the fault surface is taken as the third mesh, i.e. surface mesh. At this point, the mesh system is not the original single stratum mesh (3D body mesh) any more, and it also contains the surface mesh (2D surface mesh), therefore it is called a hybrid-dimensional mesh system (hybrid mesh system).</p><p>Based on new hybrid-dimensional mesh of the carrier-system, a special 3-D invasion percolation model (3-DIP) is proposed. The fault transport ability can also be determined by shale gouge ratio (SGR) in the 3-DIP model.</p><p>The new method is applied to the Luliang uplift in Junggar Basin, China, with an area of 3502 km<sup>2</sup>. The strata are composed of Permian - Cretaceous, which are divided into 15 simulated layers. Key simulation parameters of the study area include 2884 plane simulation meshes, 59 faults and 1 unconformity. The total number of formed meshes is 54406, including 45972 body meshes, 7884 surface meshes, 549 line meshes and 1 point mesh.</p><p>The migration pathway of oil is traced by 3-DIP, and the oil accumulation and wax content of crude oil are simulated. By comparing the simulated wax content with the measured wax content, the results are consistent with each other. It is shown that the model is reliable and the results are credible.</p><p><strong>Key words: </strong>geological modeling, migration pathway, hybrid mesh, invasion percolation model, petroleum migration and accumulation simulation, Junggar Basin.</p>

2019 ◽  
Vol 12 (1) ◽  
pp. 1-32 ◽  
Author(s):  
Miguel de la Varga ◽  
Alexander Schaaf ◽  
Florian Wellmann

Abstract. The representation of subsurface structures is an essential aspect of a wide variety of geoscientific investigations and applications, ranging from geofluid reservoir studies, over raw material investigations, to geosequestration, as well as many branches of geoscientific research and applications in geological surveys. A wide range of methods exist to generate geological models. However, the powerful methods are behind a paywall in expensive commercial packages. We present here a full open-source geomodeling method, based on an implicit potential-field interpolation approach. The interpolation algorithm is comparable to implementations in commercial packages and capable of constructing complex full 3-D geological models, including fault networks, fault–surface interactions, unconformities and dome structures. This algorithm is implemented in the programming language Python, making use of a highly efficient underlying library for efficient code generation (Theano) that enables a direct execution on GPUs. The functionality can be separated into the core aspects required to generate 3-D geological models and additional assets for advanced scientific investigations. These assets provide the full power behind our approach, as they enable the link to machine-learning and Bayesian inference frameworks and thus a path to stochastic geological modeling and inversions. In addition, we provide methods to analyze model topology and to compute gravity fields on the basis of the geological models and assigned density values. In summary, we provide a basis for open scientific research using geological models, with the aim to foster reproducible research in the field of geomodeling.


2010 ◽  
Vol 21 (1) ◽  
pp. 83-93 ◽  
Author(s):  
Jian Cao ◽  
Xulong Wang ◽  
Dongtao Wei ◽  
Ping’an Sun ◽  
Wenxuan Hu ◽  
...  

2012 ◽  
Vol 39 (1) ◽  
pp. 99-106 ◽  
Author(s):  
Jian WU ◽  
Yuanhui SUN ◽  
Bin WANG ◽  
Yongjun WANG ◽  
Lei XU ◽  
...  

2018 ◽  
Author(s):  
Miguel de la Varga ◽  
Alexander Schaaf ◽  
Florian Wellmann

Abstract. The representation of subsurface structures is an essential aspect of a wide variety of geoscientific investigations and applications: ranging from geofluid reservoir studies, over raw material investigations, to geosequestration, as well as many branches of geoscientific research studies and applications in geological surveys. A wide range of methods exists to generate geological models. However, especially the powerful methods are behind a paywall in expensive commercial packages. We present here a full open-source geomodeling method, based on an implicit potential-field interpolation approach. The interpolation algorithm is comparable to implementations in commercial packages and capable of constructing complex full 3-D geological models, including fault networks, fault-surface interactions, unconformities, and dome structures. This algorithm is implemented in the programming language Python, making use of a highly efficient underlying library for efficient code generation (theano) that enables a direct execution on GPU's. The functionality can be separated into the core aspects required to generate 3-D geological models and additional assets for advanced scientific investigations. These assets provide the full power behind our approach, as they enable the link to Machine Learning and Bayesian inference frameworks and thus a path to stochastic geological modeling and inversions. In addition, we provide methods to analyse model topology and to compute gravity fields on the basis of the geological models and assigned density values. In summary, we provide a basis for open scientific research using geological models, with the aim to foster reproducible research in the field of geomodeling.


2013 ◽  
Vol 456 ◽  
pp. 591-594
Author(s):  
Shuo Mei Wu ◽  
Yan Kun Wang ◽  
Jian Wei Song ◽  
Xu Ning Liu

Accurate terrain data should be obtained in order to research geological structure modeling problem, and it is difficult to truly reflect the form of three-dimensional geological body by traditional three-dimensional spatial data model method. By taking geological structure modeling problem as research object, this paper analyzes geological modeling principles, builds the volume element model of octree subdivision algorithm, proposes to build a three-dimensional geological body by octree subdivision algorithm based on multi-scale, meets the needs of multi-scale organization of data as well as multi-scale division of geological bodies and attributes based on the geological object expression of octree subdivision algorithm, establishes the links between various geological objects through spatial volume element, lays a good foundation for spatial analysis and provides data support for the three-dimensional visualization of geology. The results of simulation experiment show that the proposed geological modeling method through octree subdivision algorithm is accurate and efficient, and it can adapt to the construction of three-dimensional complex geological model under common complex geological conditions and reflect the true form of three-dimensional geological body.


2006 ◽  
Vol 37 (7) ◽  
pp. 827-846 ◽  
Author(s):  
Jian Cao ◽  
Suping Yao ◽  
Zhijun Jin ◽  
Wenxuan Hu ◽  
Yijie Zhang ◽  
...  

2021 ◽  
Vol 248 ◽  
pp. 03084
Author(s):  
Jie Wu ◽  
Bingyang Sun

Three-dimensional geological modeling is an important means to transparently study the three-dimensional geological spatial structure and change trend of major complex rock mass projects, and plays a very important role in the decision-making and mining of major projects. Today’s modeling methods rely too much on the required data, the process is cumbersome and the time is relatively long. Therefore, based on the above discussion, this article uses a complete open source code geological modeling method here, based on the implicit potential field interpolation method of the open source GemPy package, using this interpolation algorithm can be relatively simple to build a complex full three-dimensional geological model, Including fault network, fault surface interaction, unconformity and dome structure. The article describes in detail how to construct the faults and strata of the 3D geological model, and how to add topographic maps, and use the generated model as input data, use MOOSE to voxelize it, and export the required data, use NMM Perform stability analysis. This method has the advantages of simple operation, fast modeling speed, and visual interactive operation. The establishment of a three-dimensional geological model of the fractured rock mass was very effective, laying a solid foundation for the subsequent stability analysis.


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