Pre-stack and post-stack joint inversion and application of high-quality reservoirs in NBR oilfield

CHEN GuoFei; SHI Ying; GAO XingYou; WANG RuoYu

doi:10.6038/pg2023GG0521

2023 Vol. 38, No. 1

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Article navigation > Progress in Geophysics > 2023 > 38(1): 159-170

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CHEN GuoFei, SHI Ying, GAO XingYou, WANG RuoYu. 2023. Pre-stack and post-stack joint inversion and application of high-quality reservoirs in NBR oilfield. Progress in Geophysics, 38(1): 159-170. doi: 10.6038/pg2023GG0521

Citation:

CHEN GuoFei, SHI Ying, GAO XingYou, WANG RuoYu. 2023. Pre-stack and post-stack joint inversion and application of high-quality reservoirs in NBR oilfield. Progress in Geophysics, 38(1): 159-170. doi: 10.6038/pg2023GG0521

Pre-stack and post-stack joint inversion and application of high-quality reservoirs in NBR oilfield

1.
School of Earth Sciences, Northeast Petroleum University, Daqing 163318, China
2.
Key Laboratory of Continental Shale Hydrocarbon Accumulation and Efficient Development Northeast Petroleum University, Daqing 163318, China
3.
Exploration and Development Research Institute of CNPC Daqing Oilfield Co., Ltd., Daqing 163712, China
Fund Project:
国家自然科学基金项目（41930431）资助

More Information

Corresponding author: SHI Ying, E-mail: shiyingdqpi@163.com

Received Date: 10 October 2022

Revised Date: 17 January 2023

Publish Date: 20 February 2023

Abstract

Abstract

Seismic prediction of high-quality reservoir is effective to support the producing reserves of low-efficiency well area and external expansion area in NBR oilfield, which is of great significance to improve oilfield productivity. To solve the problems of single parameter in post-stack inversion parameters and multiple solutions in pre-stack inversion, a three-step process is developed to realize pre-stack and post-stack joint inversion for the purpose of quantitative high-quality reservoirs characterization. Step 1 predicts the distribution of sandstone and mudstone by post-stack geostatistical inversion; Step 2 is the rock physical analysis, which shows that the shear modulus is the sensitive elastic parameter of oil-bearing sand body. Then, constrained by the results of Step 1, the pre-stack Extended Elastic Impedance (EEI) inversion is used to predict the oil-bearing property of the reservoir. Similarly, constrained by the results of Step 1, Step 3 uses Gaussian Collocation Co-simulation inversion for logging parameters to predict porosity and permeability. According to the boundary of physical properties in high-quality reservoir, the three-dimensional characterization of high-quality reservoirs is conducted by the shear modulus, porosity and permeability. In oil layer A the NBR oilfield, the coincidence percentage of the above method in predicting high quality reservoir reaches 78.3%, and the horizontal well deployment in preferred dessert area achieves a remarkable success.
- High quality reservoir /
- Pre-stack and post-stack joint inversion /
- Geostatistical inversion /
- Extended Elastic Impedance (EEI) inversion /
- Shear modulus

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