Reservoir Prediction Under Control of Sedimentary Facies

Q1 Mathematics

Journal of Computational Acoustics Pub Date : 2017-09-12 DOI:10.1142/S0218396X17500229

Xiuwei Yang, P. Zhu

引用次数: 0

Abstract

Acoustic impedance (AI) from seismic inversion can indicate rock properties and can be used, when combined with rock physics, to predict reservoir parameters, such as porosity. Solutions to seismic inversion problem are almost nonunique due to the limited bandwidth of seismic data. Additional constraints from well log data and geology are needed to arrive at a reasonable solution. In this paper, sedimentary facies is used to reduce the uncertainty in inversion and rock physics modeling; the results not only agree with seismic data, but also conform to geology. A reservoir prediction method, which incorporates seismic data, well logs, rock physics and sedimentary facies, is proposed. AI was first derived by constrained sparse spike inversion (CSSI) using a sedimentary facies dependent low-frequency model, and then was transformed to reservoir parameters by sequential simulation, statistical rock physics and τ-model. Two numerical experiments using synthetic model and real data indicated that the sedimentary facies information may help to obtain a more reasonable prediction.

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沉积相控制下的储层预测

地震反演的声阻抗(AI)可以指示岩石的性质，并可与岩石物理相结合，用于预测储层参数，如孔隙度。由于地震数据带宽有限，地震反演问题的解几乎是不唯一的。为了得出合理的解决方案，还需要来自测井数据和地质条件的额外约束。为了减小反演和岩石物理建模中的不确定性，本文采用了沉积相;结果不仅与地震资料吻合，而且与地质资料吻合。提出了一种综合地震资料、测井资料、岩石物理和沉积相的储层预测方法。AI首先采用依赖于沉积相的低频模型，通过约束稀疏尖峰反演(CSSI)导出，然后通过序列模拟、统计岩石物理和τ-模型转化为储层参数。利用综合模型和实际数据进行的数值实验表明，沉积相信息有助于获得更合理的预测结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Computational Acoustics 物理-声学

CiteScore

3.90

自引率

0.00%

发文量

审稿时长

4.5 months

期刊介绍： Currently known as Journal of Theoretical and Computational Acoustics (JTCA).The aim of this journal is to provide an international forum for the dissemination of the state-of-the-art information in the field of Computational Acoustics. Topics covered by this journal include research and tutorial contributions in OCEAN ACOUSTICS (a subject of active research in relation with sonar detection and the design of noiseless ships), SEISMO-ACOUSTICS (of concern to earthquake science and engineering, and also to those doing underground prospection like searching for petroleum), AEROACOUSTICS (which includes the analysis of noise created by aircraft), COMPUTATIONAL METHODS, and SUPERCOMPUTING. In addition to the traditional issues and problems in computational methods, the journal also considers theoretical research acoustics papers which lead to large-scale scientific computations. The journal strives to be flexible in the type of high quality papers it publishes and their format. Equally desirable are Full papers, which should be complete and relatively self-contained original contributions with an introduction that can be understood by the broad computational acoustics community. Both rigorous and heuristic styles are acceptable. Of particular interest are papers about new areas of research in which other than strictly computational arguments may be important in establishing a basis for further developments. Tutorial review papers, covering some of the important issues in Computational Mathematical Methods, Scientific Computing, and their applications. Short notes, which present specific new results and techniques in a brief communication. The journal will occasionally publish significant contributions which are larger than the usual format for regular papers. Special issues which report results of high quality workshops in related areas and monographs of significant contributions in the Series of Computational Acoustics will also be published.