APPLICATION OF PRE-STACK JOINT INVERSION TO MID-DEEP RESERVOIR PREDICTION IN BOHAI BAY

LIU Jianhui; MING Jun; PENG Gang; LIANG Xuemei; ZHANG Pingping

doi:10.16028/j.1009-2722.2017.01008

2017 Vol. 33, No. 1

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Article navigation > Marine Geology Frontiers > 2017 > 33(1): 63-69

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LIU Jianhui, MING Jun, PENG Gang, LIANG Xuemei, ZHANG Pingping. APPLICATION OF PRE-STACK JOINT INVERSION TO MID-DEEP RESERVOIR PREDICTION IN BOHAI BAY[J]. Marine Geology Frontiers, 2017, 33(1): 63-69. doi: 10.16028/j.1009-2722.2017.01008

Citation:

LIU Jianhui, MING Jun, PENG Gang, LIANG Xuemei, ZHANG Pingping. APPLICATION OF PRE-STACK JOINT INVERSION TO MID-DEEP RESERVOIR PREDICTION IN BOHAI BAY[J]. Marine Geology Frontiers, 2017, 33(1): 63-69. doi: 10.16028/j.1009-2722.2017.01008

APPLICATION OF PRE-STACK JOINT INVERSION TO MID-DEEP RESERVOIR PREDICTION IN BOHAI BAY

Bohai Oilfield Petroleum Research Institute, Tianjin Branch of CNOOC Ltd., Tianjin 300459, China

Received Date: 21 October 2016

Publish Date: 28 January 2017

Abstract

Abstract

The sandstone and shale’s p-impedances are seriously overlapped in the A oilfield of the Bohai Bay and thus conventional ways using post-stack seismic attribute and inversion cannot effectively predict sand reservoirs. Here we propose a pre-stack joint inversion technology for reservoir prediction to solve this problem. Firstly, reservoir sensitivity analysis is carried out based on logging data. Then, we obtain a sand reservoir identification factor using coordinate rotation technique and make it a target curve. Finally, we obtain a reservoir identification factor volume of the whole area to describe sand reservoir thickness and lateral distribution through multiple attribute neural network inversion with p-impedance, s-impedance, density, and ratio of p-wave and s-wave data acquired by fine pre-stack simultaneous inversion. Actual application shows that this technique can acquire a good reservoir prediction result, which corresponds well with drilling wells vertically and conforms to geological rule horizontally. The result can play a very important role in subsequent drilling and has a broad application prospect.
- pre-stack simultaneous inversion /
- coordinate rotation /
- neural network inversion /
- joint inversion /
- reservoir prediction

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References

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