High-Resolution Seismic Stochastic Inversion as a Direct Input for Reservoir Modeling

Topics: Petrophysics/geophysics
CNPC

Three-dimensional reservoir models are best created with a combination of well logs and 3D-seismic data. However, the effective integration of these results is not easy because of limited seismic resolution. With the increasing quality of seismic data and wide application of new methods, high-resolution seismic-stochastic-inversion volume was used as a direct input to reduce the uncertainty of the reservoir model. Used as a direct input for reservoir modeling, this method reduces the uncertainty of the model greatly.

Introduction

A common method of reservoir modeling is the stochastic modeling method. The deficiency of this method is that it can be difficult to determine the changes between wells. In order to describe the reservoir changes between wells better, sedimentary facies and 2D-seismic attribute tendencies were used as constraints in the process of modeling. However, because every location has only one tendency value, it is difficult to describe the reservoir overlay.

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 26404, “High-Resolution Seismic Stochastic Inversion as a Direct Input for Reservoir Modeling,” by Chen Xin, Wei Xiao-Dong, Li Yan-Jing, Cui Yi, Ma Yingzhe, Yan Xiao-Huan, and Xia Yaliang, CNPC, and Wang Guan and Wang Xiaotian, China University of Petroleum, prepared for the 2016 Offshore Technology Conference Asia, Kuala Lumpur, 22–25 March. The paper has not been peer reviewed. Copyright 2016 Offshore Technology Conference. Reproduced by permission.

 

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High-Resolution Seismic Stochastic Inversion as a Direct Input for Reservoir Modeling

01 March 2017

Volume: 69 | Issue: 3