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Parallel-processing of invasion percolation for large-scale, high-resolution simulation of secondary hydrocarbon migration

A parallel processing and migration technology, applied in special data processing applications, geographic modeling, geophysical measurement, etc., to achieve enhanced computing performance and scalability, and short running time

Active Publication Date: 2020-04-10
SAUDI ARABIAN OIL CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this threshold is an undesirable limitation for large-scale basin simulations where fine-grid modeling of HC migration is desired

Method used

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  • Parallel-processing of invasion percolation for large-scale, high-resolution simulation of secondary hydrocarbon migration
  • Parallel-processing of invasion percolation for large-scale, high-resolution simulation of secondary hydrocarbon migration
  • Parallel-processing of invasion percolation for large-scale, high-resolution simulation of secondary hydrocarbon migration

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Experimental program
Comparison scheme
Effect test

test Embodiment 1

[0151] The model used consisted of 135 grid cells in the x direction and 135 grid cells in the y direction with 82 strata, resulting in a model of size 1,494,450 grid cells. The areal grid size is 2 kilometers (km) in both the x and y directions, covering a surface area of ​​73,000 square kilometers (km 2 ). The simulation run started with the first stratigraphic deposition 550 million years ago (Ma) and used a known kinetic model. The model's lithofacies were simplified to use only two types; one rock type as the seal and another rock type for the rest of the formation.

[0152] go to Figure 8 , Figure 8 is an image 800 showing the results after running the test case 1 model on a single compute core according to the implementation. As shown, the color of the transition ratios ranges from red (eg, 805) to light blue (eg, 810), indicating transitions from larger to smaller, respectively. The conversion ratio indicates how much kerogen has reacted and matured to produce H...

test Embodiment 2a

[0156] Test Case 2a: Coarse Mesh Model

[0157] The second model consisted of 535 grid cells in the x direction and 505 grid cells in the y direction with 82 strata, resulting in a model of size 22,154,350 grid cells. The area grid size is 2km in both the x and y directions, covering a surface area of ​​1,080,700km 2 . Similar to Test Case 1, the simulation run begins with the first stratigraphic deposition at 550 Ma ago and uses the same kinetic model. Also, the lithofacies of the model was simplified to use only two types: 1) one rock type as the seal and 2) another rock type for the rest of the formation.

[0158] back to Figure 12 , Figure 12 is an image 1200 showing the results from a serial run of test case 2a according to the implementation. Dark green grid cells (such as grid cells at 1205 and 1210) show accumulation saturation (volume). Colors ranging from red (eg 1215) to blue (eg 1220) show transition ratios as previously described.

[0159] The ability to ...

test Embodiment 2b

[0164] Test Case 2b: Fine Mesh Model

[0165] To show that this method can be used to run very large-scale high-resolution basin models, the grid size of Test Case 2b was refined to have 4,273 grid cells in the x-direction and 4,033 grid cells in the y-direction, There are 82 strata, resulting in a model of size 1,413,106,738 grid cells. All other characteristics of the model remained the same, and the model was run on 1,000 compute cores, using 14 processors per compute node.

[0166] go to Figure 15 , Figure 15 is an image 1500 showing the results of running the model of test case 2b using 1000 compute cores according to the implementation. It can be seen that the indicated trap locations are consistent with the coarse mesh test case 2a model ( Figure 14B )quite. However, many smaller indicated traps that were suspected to be artifacts due to the low-resolution coarse mesh in test case 2a disappeared in test case 2b. In one implementation, the parallel simulation pr...

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Abstract

A parallel-processing hydrocarbon (HC) migration and accumulation methodology is applied to basin data to determine migration pathways and traps for high-resolution petroleum system modeling. HC is determined in parallel to have been expelled in source rocks associated with a plurality of grid cells divided into one or more subdomains. Potential trap peaks are identified within the plurality of grid cells. An invasion percolation (IP) process is performed until the HC stops migrating upon arrival to the plurality of trap peaks. A determination is made as to whether the grid cells containing HCcontains an excess volume of HC. An accumulation process is performed to model the filling of the HC at a trap associated with the identified potential trap peaks. The trap boundary cell list is updated in parallel together with an HC potential value. Trap filling terminates when excess HC is depleted or a spill point is reached.

Description

[0001] Cross References to Related Applications [0002] This application claims priority to U.S. Provisional Application No. 62 / 524,223, filed June 23, 2017, and U.S. Invention Application No. 16 / 007,175, filed June 13, 2018, the entire contents of which are incorporated by reference here. Background technique [0003] Basin modeling / simulation (also known as petroleum system modeling / simulation) tracks the evolution of sedimentary basins and their fluid content over eons of geologic time by digitizing the basin model and simulating the relevant processes associated with the basin. In recent years, it has become an important tool for exploration geoscientists to predict the type and presence of hydrocarbon (HC) fluids and to assess geological risk before drilling wells for HC fluids. Basin simulators typically include numerical modules for calculating: 1) backstripping and compaction; 2) pressure calculations; 3) heat flow analysis and dynamics; 4) oil production, adsorption...

Claims

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Application Information

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IPC IPC(8): G01V99/00
CPCG01V2210/644G01V2210/661G06F2111/10G06F30/20G06F30/28G01V20/00G06F2101/10E21B41/00
Inventor 舒豪·纳伊姆·卡尤姆拉里·西乌-屈恩·冯
Owner SAUDI ARABIAN OIL CO
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