NUMERICAL SIMULATION OF TECTONIC STRESS FIELD AND PREDICTION OF OIL-FAVORED AREAS: A CASE STUDY OF THE THIRD MEMBER OF QINGSHANKOU FORMATION IN GUIZIJING REGION OF QIAN'AN AREA, SONGLIAO BASIN

WU Lin-qiang; LIU Cheng-lin; LI Bing; WANG Zi-ling

Volume 20 Issue 4

Dec. 2014

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Article Navigation > Journal of Geomechanics > 2014 > 20(4): 339-351

WU Lin-qiang, LIU Cheng-lin, LI Bing, et al., 2014. NUMERICAL SIMULATION OF TECTONIC STRESS FIELD AND PREDICTION OF OIL-FAVORED AREAS: A CASE STUDY OF THE THIRD MEMBER OF QINGSHANKOU FORMATION IN GUIZIJING REGION OF QIAN'AN AREA, SONGLIAO BASIN. Journal of Geomechanics, 20 (4): 339-351.

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NUMERICAL SIMULATION OF TECTONIC STRESS FIELD AND PREDICTION OF OIL-FAVORED AREAS: A CASE STUDY OF THE THIRD MEMBER OF QINGSHANKOU FORMATION IN GUIZIJING REGION OF QIAN'AN AREA, SONGLIAO BASIN

1.
College of Geosciences, China University of Petroleum, Beijing 102249, China
2.
Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China

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Abstract

Abstract

Tectonic stress is very important for oil-gas migration and accumulation. Petroleum accumulation for Gaotaizi reservoir in Songliao Basin mainly occurred in the end of Mingshui period. During this period, the peak of hydrocarbon generation and expulsion matches well with large scale hydrocarbon migration and accumulation periods and the formation of accumulations. In this paper, ANSYS is used to primarily simulate the tectonic stress field in the end of Mingshui period in Guizijing region of Qian'an area in South Songliao Basin. According to oil and gas migration mechanics driven by the crustal stress, migration potential field is also simulated. The results show that the first maximum principal stress is mainly controlled by lithology while the minimum principal stress is buried depth. Therefore, the well testing data shows that most wells with a show of oil and gas locate in low stress zone or low potential zone. Based on the distribution of crustal stress, migration potential fields and geologic structure features, the oil-favored areas predicted in this study will provide scientific guide for oil exploration and development.
- finite element,
- numerical stimulation,
- crustal stress,
- migration potential field,
- oil reservoir prediction

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References

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