Exxonmobil Upstream Research Company

Michael E Farrell

Shauna Kaye Oppert

Rebecca L Saltzer

Shiyu Xu

Christopher J Finn

Jonathan Stewart

Scott A Barboza

Rene Jonk

A seismic fluid prediction data, e.g., a dataset, is generated for a subsurface region by preconditioning seismic data for amplitude-versus-offset (AVO) analysis. Seismic AVO attribute data is generated for the subsurface region, including creating intercept (A) and gradient (B) seismic data using two or more angle stacks of seismic data. Lithology prediction data is generated with the intercept (A) and gradient (B) seismic data, and an AVO crossplot for fluids is generated to identify an initial AVO anomaly. Seismic fluid prediction data is generated based on the generated AVO crossplot and lithology prediction data.

Seismic fluid prediction via expanded AVO anomalies

At least one transport property for a subsurface region is calculated from derivative seismic data by generating a model relating at least one derivative seismic rock property of a subsurface region to at least one transport property for the subsurface region. At least one transport property is calculated by applying the generated transport property model. Transport phenomena may be simulated with a transport model using at least one transport property generated by applying the model. A model describing evolution of the at least one transport property may be generated within the subsurface region over time, e.g., to facilitate basin modeling of the subsurface region.

Transport property data calculated from derivative seismic rock property data for transport modeling

Method for predicting lithology and porosity of subsurface rocks from seismic reflection data. The seismic data is inverted to yield elastic properties of the rocks such as the compressional and shear impedances. A rock physics model is built to relate porosity, the shale volume fraction, the fluid content of the rock and the elastic properties of the rock. The model is run backward in a second inversion process to solve for porosity and lithologic properties such as the shale volume fraction.

Method for predicting lithology and porosity from seismic reflection data

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Katy, TX, United States of America

Michael E Farrell