AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Advances in Geo-Energy Research Article
PDF (2.2 MB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Original Article | Open Access

Parallel numerical simulation for a super large-scale compositional reservoir

Peiqing Lian( ), Bingyu Ji, Taizhong Duan, Huawei Zhao, Xiaofei Shang
Sinopec Petroleum Exploration & Production Research Institute, Beijing 100083, P. R. China
Show Author Information

Abstract

A compositional reservoir simulation model with ten-million grids is successfully computed using parallel processing techniques. The load balance optimization principle for parallel calculation is developed, which improves the calculation speed and accuracy, and provides a reliable basis for the design of reservoir development plan. Taking M reservoir as an example, the parallel numerical simulation study of compositional model with ten million grids is carried out. When the number of computational nodes increases, message passing processes and data exchange take much time, the proportion time of solving equation is reduced. When the CPU number increases, the creation of Jacobian matrix process has the higher acceleration ratio, and the acceleration ratio of I/O process become lower. Therefore, the I/O process is the key to improve the acceleration ratio. Finally, we study the use of GPU and CPU parallel acceleration technology to increase the calculation speed. The results show that the technology is 2.4 ∼5.4 times faster than CPU parallel technology. The more grids there are, the better GPU acceleration effect it has. The technology of parallel numerical simulation for compositional model with ten-million grids presented in this paper has provided the foundation for fine simulation of complex reservoirs.

Keywords

numerical simulationTen million gridscompositional modelCPU and GPU parallelload balance optimization

References

 
Al-Saadoon, O., Ehtesham, H.M., Baddourah, M. Building a simulation grid for large scale reservoir simulation. Paper SPE 164848 Presented at the EAGE Annual Conference & Exhibition incorporating SPE Europec, London, UK, 10-13 June, 2013.
 

Cao, J., Pan, F., Yao, J., et al. The implementation of a parallel software of petroleum reservoir simulation and its application on native high-performance computers. Journal of Computer Research and Development 2002, 39(8): 973-980. (in Chinese)
Google Scholar
 

Che, X., Li, C., Zhao, G., et al. Reservoir simulation technology for million-grid block model. Petroleum Geology & Oilfield Development in Daqing 2002, 21(3): 28-31. (in Chinese)
Google Scholar
 
DeBaun, D., Byer, T., Childs, P., et al. An extensible architecture for next generation scalable parallel reservoir simulation. Paper SPE 93274 Presented at the SPE Reservoir Simulation Symposium, The Woodlands, Texas, 31 January-2 February, 2005.https://doi.org/10.2118/93274-MS
Crossref
 
Dogru, A.H., Fung, L.S., Al-Shaalan, T.M., et al. From mega-cell to giga-cell reservoir simulation. Paper SPE 116675 Presented at the SPE Annual Technical Conference and Exhibition, Denver, Colorado, USA, 21-24 September, 2008.https://doi.org/10.2118/116675-MS
Crossref
 

Dogru, A.H., Sunaidi, H.A., Fung, L.S., et al. A parallel reservoir simulator for large-scale reservoir simulation. SPE Reserv. Eval. Eng. 2003, 5(1): 11-23.
Crossref Google Scholar
 
Ehtesham, H.M., Baddourah, M., Harbi, B., et al. Designing a high performance computational platform for simulation of giant reservoir models. Paper SPE 164429 Presented at the SPE Middle East Oil and Gas Show and Conference, Manama, Bahrain, 10-13 March, 2013.
 

Jiang, X., Qian, G., Dai, H., et al. Application of parallel numerical simulation technology in reservoir development: Taking Wutonggou reservoir in shanan oilfield as an example. Xinjiang Petroleum Geology 2001, 22(1): 61-62. (in Chinese)
Google Scholar
 

Killough, J.E., Bhogeswara, R. Simulation of compositional reservoir phenomena on a distributed-memory parallel computer. J. Pet. Technol. 1991, 43(11): 1368-1374.
Crossref Google Scholar
 
Killough, J.E., Camilleri, D.C., Darlow, B.L., et al. A parallel reservoir simulator based on local grid refinement. Paper SPE 37978 Presented at the SPE Reservoir Simulation Symposium, Dallas, Texas, USA, 8-11 June, 1997.https://doi.org/10.2118/37978-MS
Crossref
 
Li, G., Wallis, J., Shaw, G. A parallel linear solver algorithm for solving difficult large scale thermal models. Paper SPE 173207 Presented at the SPE Reservoir Simulation Symposium, Houston, Texas, USA, 23-25 February, 2015.https://doi.org/10.2118/173207-MS
Crossref
 

Li, L., Lian, P., Liu, Y. Improving reservoir historical matching accuracy based on grid displacing multiple factor. China Sciencepaper 2018, 13(21): 2482-2485. (in Chinese)
Google Scholar
 

Li, Z., Liu, J., Ma, Y., et al. Research on parallel processing technology and application of numerical simulation. Journal of Yangtze University (Natural Science Edition) 2012, 9(6): 93-95. (in Chinese)
Google Scholar
 

Lian, P., Li, L., Duan, T. Injection parameters optimization of crosslinked polymer flooding by genetic algorithm. Adv. Geo-Energy Res. 2018, 2(4): 441-449.
Crossref Google Scholar
 

Lian, P., Li, L., Duan, T. Study on remaining oil potential tapping for pore-type carbonate reservoir at high water cut stage. China Sciencepaper 2019, 14(1): 61-65. (in Chinese)
Google Scholar
 

Liu, Y., Luo, X., Chu, Y. Taking advantage of Eclipse parallel based on MPI for reservoir simulation. Sci. Technol. Eng. 2011, 11(25): 6167-6170.
Google Scholar
 

Pan, J., Huang, S., Zhu, Y., et al. Current situation and development trend of reservoir numerical simulation technology. Petroleum Geology and Recovery Efficiency 2002, 9(4): 69-71. (in Chinese)
Google Scholar
 
Tolstolytkin, D.V., Borovkov, E.V., Reaev, I.A., et al. Dynamic modeling of Samotlor field using high resolution model grids. Paper SPE 171225 Presented at the SPE Russian Oil and Gas Exploration & Production Technical Conference and Exhibition, Moscow, Russia, 14-16 October, 2014.https://doi.org/10.2118/171225-RU
Crossref
 

Yang, Y., Cao, J., Dai, T., et al. An application study on a large scale parallel simulation of western block 7 in Gudong oilfield. Journal of University of Science and Technology of China 2004, 34(Supp. ): 161-167. (in Chinese)
Google Scholar
 

Yang, Y., Shu, J., Zheng, W. Parallel computing for large-scale numerical simulations of oil reservoirs based on cluster systems. Journal of Tsinghua University (Science & Technology) 2003, 43(9): 1284-1287. (in Chinese)
Google Scholar
 
Zhang, K., Wu, Y.S., Ding, C., et al. Parallel computing techniques for large-scale reservoir simulation of multi-component and multiphase fluid Flow. Paper SPE 66343 Presented at the SPE Reservoir Simulation Symposium, Houston, Texas, 11-14 February, 2001.https://doi.org/10.2118/66343-MS
Crossref
 

Zhao, G., Yin, Z., Wu, Y. Numerical simulation on PC cluster of large scale reservoir in Daqing oilfield. Journal of Southwest Petroleum University 2003, 25(6): 35-39. (in Chinese)
Google Scholar
 

Zheng, Q., Niu, J., Yang, X., et al. Application of VIP reservoir numerical simulation software in oilfield development. Xinjiang Petroleum Geology 2001, 22(6): 520-523. (in Chinese)
Google Scholar
Advances in Geo-Energy Research
Volume 3 Issue 4,
December 2019
Pages 381-386
DOI: 10.26804/ager.2019.04.05
Cite this article:
Lian P, Ji B, Duan T, et al. Parallel numerical simulation for a super large-scale compositional reservoir. Advances in Geo-Energy Research, 2019, 3(4): 381-386. https://doi.org/10.26804/ager.2019.04.05

559

Views

33

Downloads

3

Crossref

0

Web of Science

4

Scopus

Altmetrics
Received: 02 November 2019
Revised: 24 November 2019
Accepted: 25 November 2019
Published: 27 November 2019
© The Author(s) 2019

This article is distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Return