水道浊积体特征识别模式及其储层地震预测——以西非下刚果盆地MC块为例

doi:10.11720/wtyht.2025.0032

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Abstract

A typical channel turbidite system is developed in the deep-water area of the Lower Congo Basin,West Africa,establishing this area as a significant target for deep-water oil and gas exploration.Turbidite bodies in this area are characterized by strong heterogeneity and a complex reservoir distribution.Traditional methods show limited turbidite body identification accuracy and reservoir prediction ability,failing to support efficient exploration.This study investigated the channel turbidite system in this area based on the deep-water gravity flow theory.It established feature identification models for four kinds of channel turbidites at different scales.The models integrate the turbidite depositional site,accommodation space geometry,internal turbidite characteristics,and the rock,log,and seismic facies obtained through drilling.Furthermore,guided by the principle of facies-controlled reservoir distribution,new composite elastic parameters were constructed based on an improved ray-path elastic impedance inversion method.These parameters provided enhanced resolution for turbidite sandstone reservoirs,enabling a quantitative prediction of such reservoirs.Validation with post-test wells demonstrates high accuracy and favorable application outcomes.Overall,this study serves as a foundational guide for oil and gas resource assessments and well placement in similar deep-water areas.

Key words： channel turbidite body feature identification model turbidite sandstone ray-path elastic impedance inversion composite elastic parameter reservoir prediction

Received: 24 February 2025 Published: 07 August 2025

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	Articles by authors
	Jun GAO
	Rui XU
	Jia-Chen HUANG
	Shu-Jin YUAN

Cite this article:

Jun GAO,Rui XU,Jia-Chen HUANG, et al. Feature identification model and seismic reservoir prediction of channel turbidite bodies: A case study of the MC block,Lower Congo Basin,West Africa[J]. Geophysical and Geochemical Exploration, 2025, 49(4): 919-924.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2025.0032 OR https://www.wutanyuhuatan.com/EN/Y2025/V49/I4/919

Technical flow of turbidite rock mass characteristic identification

Feature recognition model of turbidite in the sea of Angola

RGB fusion attribute map of seismic frequency and lithologic section of well C-n1
a—nearly east-west reflection seismic profile;b—RGB blended attribute from seismic spectral decomposition;c—well-traverse lithostratigraphic section

The ray-path elastic impedance inversion profile

A new AVO elastic impedance was constructed by plotting between the ray-path elastic impedances

f_AVO-IMP prediction turbidite sand thickness(a) and porosity(b) based on the ray-path elastic inversion

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