Multi-dimensional Seismic Data Analysis in an Advanced Reservoir Characterization Workflowsbe

Summary The primary objective of this paper is to explore efficient strategies for handling the increasing volume size and complexity of seismic datasets, while highlighting critical components of the seismic reservoir characterization or quantitative interpretation workflow. As geoscientists, our ultimate goal is to estimate the Earth’s elastic properties and use them to help estimate lithology, fluid distribution, and reservoir properties such as porosity, shale volume. Time-lapse studies are also used to identify production-induced changes in elastic properties over time.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.3997/2214-4609.2025642042
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
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article

Multi-dimensional Seismic Data Analysis in an Advanced Reservoir Characterization Workflowsbe

C. Reiser
Reservoir Engineering and Simulation Methods
article

Multi-dimensional Seismic Data Analysis in an Advanced Reservoir Characterization Workflowsbe

C. Reiser
article en

Abstract

Summary The primary objective of this paper is to explore efficient strategies for handling the increasing volume size and complexity of seismic datasets, while highlighting critical components of the seismic reservoir characterization or quantitative interpretation workflow. As geoscientists, our ultimate goal is to estimate the Earth’s elastic properties and use them to help estimate lithology, fluid distribution, and reservoir properties such as porosity, shale volume. Time-lapse studies are also used to identify production-induced changes in elastic properties over time.

Openalex Percentile: Top 72%
Reservoir Engineering and Simulation Methods
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Multi-dimensional Seismic Data Analysis in an Advanced Reservoir Characterization Workflowsbe — C. Reiser · (2025) | TGRS Research Map | TGRS