What is it about?
Hydrocarbon reservoirs often has natural fractures. These natural fractures influence the placement of injector and producing wells, drilling hazard estimation and production performance of the reservoir. The fracture characterization is usually carried out using formation microimager logs (FMI), pressure data, mud loss data etc. and statistically populated in the entire reservoir space. Fracture information can also be extracted from seismic data which can be used for fracture characterization more effectively as seismic is the most dense data. This paper follows a workflow to extract fracture lineaments from seismic data and utilises them in a model.
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Why is it important?
Seismic fracture characterization is gaining currency as conventional fracture characterization from well data alone is not giving optimal results in simulation history match. But seismic fractures are limited in their use due to the difference in scale of these fractures and geological model. Besides, the seismic fractures are actually assemblages of several sub seismic fractures giving rise to lineaments as seen in post stack 3D seismic data. This paper shows possible ways to extract these lineaments and quantitatively integrate them into a model.
Perspectives
Presently, fracture information from seismic data are not usually explicitly modelled due to the scale difference between the seismic fractures and model. This paper shows a way forward towards integrating these fracture lineaments explicitly into a model
Debasis Chaudhuri
Indian Institute of Technology Kharagpur
Read the Original
This page is a summary of: Quantitative seismic fracture characterization of a sandstone reservoir — Decatur, Illinois Basin, The Leading Edge, February 2024, Society of Exploration Geophysicists,
DOI: 10.1190/tle43020125.1.
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