Novel fracture zone identifier attribute using geophysical and well log data for unconventional reservoirs

Author:

Maity Debotyam1,Aminzadeh Fred2

Affiliation:

1. Gas Technology Institute, Des Plaines, Illinois, USA..

2. University of Southern California, Los Angeles, California, USA..

Abstract

We have characterized a promising geothermal prospect using an integrated approach involving microseismic monitoring data, well logs, and 3D surface seismic data. We have used seismic as well as microseismic data along with well logs to better predict the reservoir properties to try and analyze the reservoir for improved mapping of natural and induced fractures. We used microseismic-derived velocity models for geomechanical modeling and combined these geomechanical attributes with seismic and log-derived attributes for improved fracture characterization of an unconventional reservoir. We have developed a workflow to integrate these data to generate rock property estimates and identification of fracture zones within the reservoir. Specifically, we introduce a new “meta-attribute” that we call the hybrid-fracture zone-identifier attribute (FZI). The FZI makes use of elastic properties derived from microseismic as well as log-derived properties within an artificial neural network framework. Temporal analysis of microseismic data can help us understand the changes in the elastic properties with reservoir development. We demonstrate the value of using passive seismic data as a fracture zone identification tool despite issues with data quality.

Publisher

Society of Exploration Geophysicists

Subject

Geology,Geophysics

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Novel Well Log Data Quality Prescriptive Framework for Enhancing Well Log Data Quality Interpretation;Day 1 Sun, February 19, 2023;2023-03-07

2. Review of machine learning methods applied to enhanced geothermal systems;Environmental Earth Sciences;2023-01-20

3. Delineating the main structural outlines and the petrophysical properties of the Albian-upper Cretaceous Reservoirs using seismic and well log data, Shushan Basin, north Western Desert, Egypt;Journal of Petroleum Exploration and Production Technology;2023-01-07

4. References;Artificial Intelligence and Data Analytics for Energy Exploration and Production;2022-08-26

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