AUTHOR=Fang Zhang , Yunjie Dai , Dongyan Zhou , Yu Lin , Jixiang He , Xuechun Zhang , Yaoli Shi TITLE=A seismic prediction method of reservoir brittleness based on mineral composition and pore structure JOURNAL=Frontiers in Earth Science VOLUME=11 YEAR=2024 URL=https://www.frontiersin.org/journals/earth-science/articles/10.3389/feart.2023.1326861 DOI=10.3389/feart.2023.1326861 ISSN=2296-6463 ABSTRACT=

The Lucaogou Formation, a typical fine-grained mixed formation in the Jimusaer Sag of the Junggar Basin, exhibits considerable potential for hydrocarbon exploration. Accurate brittle prediction is a crucial factor in determining hydraulic fracturing effectiveness. However, the area features complex lithological characteristics, including carbonate rocks, clastic rocks, volcanic rocks, and gypsum interbeds, along with thin layering and sporadic sweet spots. Traditional prediction methods offer limited resolution and there is an urgent need for a seismic brittle prediction method tailored to this complex geological environment. This paper presents a multi-mineral composition equivalent model for complex lithologies that enables the accurate calculation of Vp and Vs These ratios serve as the foundation for pre-stack elastic parameter predictions, which include Poisson’s ratio and Young’s modulus. By comparing the predicted parameters with well-logging measurements, the prediction accuracy is improved to 82%, with particularly high conformity in intervals characterized by high organic matter and clay content. Additionally, a three-dimensional brittle modeling approach reveals that the brittleness of the reservoir exceeds that of the surrounding rock, showing a gradual improvement in brittleness with increasing burial depth from southeast to northwest. The central area exhibits relatively good brittleness, with a stable, blocky distribution pattern.