A Bayesian framework for fracture characterization from surface seismic data

Framework for time lapse fracture characterization using seismic, microseismic & well log data

Extensive work has been done in the recent years involving use of conventional and passive seismic data for fracture characterization. This is particularly the case with unconventional reservoirs such as shale gas, shale oil and geothermal fields. The purpose of our study is to combine the benefits of conventional seismic data that provides relatively higher resolution reservoir characteristics...

Discrimination and Enhancement of Fracture Signals on Surface Seismic Data

A Bayesian framework for 3D surface estimation

We develop an evidence-combining framework for extracting locally consistent di!erential structure from curved surfaces. Existing approaches are restricted by their sequential multi-stage philosophy, since important information concerning the salient features of surfaces may be discarded as necessarily condensed information is passed from stage to stage. Furthermore, since data representations ...

Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data for Volumetric Uncertainty Analysis

Here in, an application of a new seismic inversion algorithm in one of Iran’s oilfields is described. Stochastic (geostatistical) seismic inversion, as a complementary method to deterministic inversion, is perceived as contribution combination of geostatistics and seismic inversion algorithm. This method integrates information from different data sources with different scales, as prior informat...

Natural Fracture Characterization Using Passive Seismic Illumination

The presence of natural fractures in reservoir rock can significantly enhance gas production, especially in tight gas formations. Any general knowledge of the existence, location, orientation, spatial density, and connectivity of natural fractures, as well as general reservoir structure, that can be obtained prior to active seismic acquisition and drilling can be exploited to identify key areas...