东西伯利亚陆源储层同步反演结果验证分析

P. Emelyanov, A. Ostankov
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引用次数: 0

摘要

新的勘探项目由于钻井数据缺乏,因此需要考虑先进的高密度三维地震研究。预计更新的高密度地震数据将用于建立详细的地质储层模型,并大大加强进一步的勘探钻井。地震资料解释的最新发展源于地震资料的逆变换。地震数据可以自行审查和解释,而无需进行反演,然而,这并不能使我们获得对地层结构的最详细了解,并且在某些条件下可能导致不可靠的结果。得益于地震反演的效率和质量,大多数油气公司目前都采用反演技术来提高地震数据的分辨率,提高预测的可靠性和储层岩石性质评估的准确性,包括孔隙度和净产层厚度。有许多不同的反演技术,其中一些技术需要根据现有地质和地球物理数据的数量和质量,以及需要解决的具体需求和研究剖面的岩石性质来选择。本出版物的主要目的是评估反演转换在预测陆源储层甜点方面的潜力,这些储层是东西伯利亚具有挑战性的地震地质环境的一部分。同时反演有效性分析是基于新钻井的两个先导井的数据进行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Results Confirmation of Simultaneous Inversion for East Siberian Terrigenous Reservoirs
New exploration projects with a scarcity of drilling data give much consideration to advanced high-density 3D seismic studies. Updated high-density seismic data is presumed to be utilized to build detailed geological reservoir models and substantially enhance further exploration drilling. The latest developments in seismic data interpretation stem from inverse transformations of seismic data. Seismic data can be reviewed and interpreted by themselves, without inversion, however, this does not allow us to obtain the most detailed understanding of the structure of the formation, and under certain conditions can lead to an unreliable result. Benefiting from the efficiency and quality of seismic inversion, most oil and gas companies currently employ inversion technologies to enhance seismic data resolution and improve the prediction reliability and reservoir rock properties assessment accuracy, including with regard to porosity and net pay thickness. There are a host of various inversion technologies with some of them to be selected for the quantity and quality of prior geological and geophysical data, as well as for the specific needs to be addressed and the rock properties of of the section under study. The key objective of this publication is to assess the potential of inversion transformations in predicting sweet-spots in terrigenous reservoirs forming part of a challenging seismogeological environment in Eastern Siberia. The simultaneous inversion validity analysis is based on the data obtained from two pilot boreholes of a newly drilled well.
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