压制孔隙影响的流体敏感因子优选及其在烃类检测中的应用

doi:10.11720/wtyht.2021.1364

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Abstract

The deep-water turbidite sandstone reservoirs in Niger Delta basin have great oil-gas exploration potential.Drilling results in S Block area indicate that high-porosity water sandstones show "bright spot" and class II-III AVO anomaly,which are similar to features of oil sandstones. It is critical to remove the effect of porosity while fluid detection is conducted.However,conventional analysis method seldom considers the effect of porosity,and the selected fluid factor is sensitive to both hydrocarbon and porosity,which leads to inaccurate detection result.Therefore,in this study,a new quantitative evaluation method based on fluid and porosity substitution is proposed to choose the most sensitive fluid factor,which can highlight hydrocarbon and suppress the effect of porosity.The analysis result shows that λ/μ is the most suitable elastic parameter in this area and can be used to detect hydrocarbon.The real data application result shows that λ/μ can effectively distinguish "bright spot" water sandstones from oil sandstones, and the predicted results are well consistent with the drilling data, which proves the feasibility of this method.

Key words： Niger Delta basin bright spot fluid factor quantitative evaluation hydrocarbon detection

Received: 20 January 2021 Published: 21 December 2021

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	Di WANG
	Yi-Ming ZHANG
	Cong NIU
	Rao HUANG
	Li HAN

Cite this article:

Di WANG,Yi-Ming ZHANG,Cong NIU, et al. The optimization of sensitive fluid factor removing the effect of porosity and its application to hydrocarbon detection[J]. Geophysical and Geochemical Exploration, 2021, 45(6): 1402-1408.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2021.1364 OR https://www.wutanyuhuatan.com/EN/Y2021/V45/I6/1402

Location map of the study area

Drilling result of wells in the study area

Cross-well stack section of W1,W2 and W3

Influence factor analysis of post-stack amplitude

AVO responses of angle gather in well locations

The AVO variation with porosity for oil layer (a) and water layer (b)

The AVO intercept and gradient crossplot with different fluid type and porosity

Coefficient of different elastic parameters after fluid and porosity substitution

Sensitivity coefficient of different elastic parameters coefficient A(a),coefficient B(b) and coefficient C(c)

Fluid detection capacity comparison by λρ (a) and λ/μ (b)

The cross-well hydrocarbon detection result using λρ (a) and λ/μ (b)

RMS amplitude attribute(a) and predicted hydrocarbon distribution using λ/μ (b) of R1180 formation

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