基于叠前同时反演的致密砂岩储层预测及含气性识别——以苏里格S区块为例

doi:10.11720/wtyht.2022.2581

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Abstract

Owing to the small impedance difference with surrounding rock and complex gas-water relationships,it is difficult to identify high-quality reservoirs in block S in the Sulige gas field through the post-stack P-wave impedance inversion.According to the petrophysical analysis of the study area,the pre-stack parameter v_p/v_s ratio can be used to effectively identify lithology and gas-bearing properties.This study firstly determined the seismic response characteristics of the reservoirs through forward modeling.Secondly,it conducted petrophysical modeling and the prediction of shear-wave velocities using the Xu-White model suitable for sandstone and mudstone and accordingly established a petrophysical model.Thirdly,the CRP gathers were optimized using the processing methods such as linear denoising and residual amplitude compensation.Finally,the thickness and gas-bearing properties of the reservoirs in block S in the Sulige gas field were quantitatively predicted through simultaneous pre-stack inversion.The results are as follows.(1)The top boundary of the reservoirs in the study area shows the seismic reflection characterized by strong trough reflection,while the bottom boundary of the reservoirs shows unapparent seismic reflection;(2)The v_p/v_s ratio of less than 1.68 can be used to effectively determine sandstone.This combined with the P-wave impedance of less than 12200 g·cm^-3 ·m·s^-1 can be used to predict the reservoirs in the study area. Moreover, a v_p/v_s of less than 1.57 can be used to identify the gas-bearing properties;(3)Reservoir distribution and the predicted gas-bearing range have similar trends but differ locally.The development degree of reservoirs is not necessarily positively correlated with the gas content.The method proposed in this paper is expected to provide strong technical support for delineating the favorable gas-bearing reservoir area and deploying well locations in the future.

Key words： model forward modeling prediction of shear-wave velocities petrophysical modeling gather optimization simultaneous pre-stack inversion

Received: 24 December 2020 Published: 21 June 2022

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	Articles by authors
	De-Ming ZHANG
	Zhi-Gang LIU
	Dian-Guang ZANG
	Xian-Feng LIAO
	Zhi-Yi LIU
	Guo-Bao LIU

Cite this article:

De-Ming ZHANG,Zhi-Gang LIU,Dian-Guang ZANG, et al. Prediction and identification of gas-bearing properties of tight sandstone reservoirs through simultaneous pre-stack inversion:A case study of block S in Sulige gas field[J]. Geophysical and Geochemical Exploration, 2022, 46(3): 645-652.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2022.2581 OR https://www.wutanyuhuatan.com/EN/Y2022/V46/I3/645

Reservoir forward modeling
a—reservoir forward modeling geological model;b—reservoir forward modeling result;c—seismic profile of well W1

Technical process of simultaneous pre-stack inversion

Input parameter table of petrophysical modeling

Comparison of predicted curve and measured curve of Well W1

Petrophysical logging response characteristics of Well W2

Intersection graphs and histograms of various elastic parameters in H8 section
a—intersection graphs of P-impedance and v_p/v_s to distinguish lithology;b—intersection graphs of P-impedance and v_p/v_s to distinguish reservoir;c—intersection graphs of P-impedance and Porosity;d—histogram of v_p/v_s distribution probability;e—histogram of Poisson's ratio distribution probability;f—histogram of Young's Modulus distribution probability

Gather optimization processing
a—original gather;b—optimized gather;c—forward gather;d—AVO characteristics of gas-bearing sandstone top

Seismic migration profile and inversion profile of Well W1
a—PSTM seismic profile; b—v_p/v_s profile; c—P-impedance profile; d—gas-bearing profile

Reservoir thickness map(a) and gas-bearing prediction map(b) of the lower sub-segment of H8

Seismic migration profile and inversion profile of Well W6
a—PSTM seismic profile; b—v_p/v_s profile; c—P-impedance profile; d—gas-bearing profile

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