2024•International Journal of Natural Resources and Environmental StudiesOpen access

Review of Methods for Prediction and Identification of Small Faults

Zhaopeng Yan

Open full text 0 citations

Abstract

Fault system is the oil and gas reservoir is one of the main control factors of characteristic changes especially, for dense reservoirs, so it is very important for quality reservoir prediction. However, due to the complex relationship and contradiction between the genesis and scale problems of small faults and the characteristics and resolution of seismic response, the seismic detection technology of small fault development zones is one of the current research hotspots. Seismic attribute analysis is one of the effective means for small fault identification and prediction. Various types of seismic attributes can be obtained by doing different mathematical and physical transformations on seismic data, and various different kinds of seismic attributes can be obtained based on seismic data. Different seismic attributes can describe different geological features, and a single seismic attribute has good ability to identify faults, but a single seismic attribute to predict reservoir The single seismic attribute has good ability to identify faults, but the single seismic attribute may have multiple solutions when predicting reservoir parameters. Therefore, by preferring multiple attributes that can reflect the reservoir characteristics in the work area for analysis, multiple solutions can be reduced and the prediction accuracy can be improved, which is very practical in fault prediction.

About this research paper

What this paper is about

Fault system is the oil and gas reservoir is one of the main control factors of characteristic changes especially, for dense reservoirs, so it is very important for quality reservoir prediction. However, due to the complex relationship and contradiction between the genesis and scale problems of small faults and the characteristics and resolution of seismic response, the seismic detection technology of small fault development zones is one of the current research hotspots. Seismic attribute analysis is one of the effective means for small fault identification and prediction. Various types of seismic attributes can be obtained by doing different mathematical and physical transformations on seismic data, and various different kinds of seismic attributes can be obtained based on seismic data. Different seismic attributes can describe different geological features, and a single seismic attribute has good ability to identify faults, but a single seismic attribute to predict reservoir The single seismic attribute has good ability to identify faults, but the single seismic attribute may have multiple solutions when predicting reservoir parameters. Therefore, by preferring multiple attributes that can reflect the reservoir characteristics in the work area for analysis, multiple solutions can be reduced and the prediction accuracy can be improved, which is very practical in fault prediction.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Fault system is the oil and gas reservoir is one of the main control factors of characteristic changes especially, for dense reservoirs, so it is very important for quality reservoir prediction. However, due to the complex relationship and contradiction between the genesis and scale problems of small faults and the characteristics and resolution of seismic response, the seismic detection technology of small fault development zones is one of the current research hotspots. Seismic attribute analysis is one of the effective means for small fault identification and prediction. Various types of seismic attributes can be obtained by doing different mathematical and physical transformations on seismic data, and various different kinds of seismic attributes can be obtained based on seismic data. Different seismic attributes can describe different geological features, and a single seismic attribute has good ability to identify faults, but a single seismic attribute to predict reservoir The single seismic attribute has good ability to identify faults, but the single seismic attribute may have multiple solutions when predicting reservoir parameters. Therefore, by preferring multiple attributes that can reflect the reservoir characteristics in the work area for analysis, multiple solutions can be reduced and the prediction accuracy can be improved, which is very practical in fault prediction.

Key concepts: Seismic to simulation, Seismic attribute, Seismic inversion, Fault (geology), Identification (biology), Geology, Scale (ratio), Data mining

Related papers

Back to paper searchBrowse research topicsOriginal source
Review of Methods for Prediction and Identification of Small Faults — Research Paper | ScholarLens