--> ABSTRACT: Enhanced Remote Fractured Reservoir Detection and Characterization Through Basin Model / Seismic Image Interpretation Integration, by Peter J. Ortoleva, Kagan Tuncay, Kush Tandon, and John B. Comer; #90906(2001)

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Peter J. Ortoleva1, Kagan Tuncay1, Kush Tandon1, John B. Comer2

(1) Lab. for Computational Geodynamics, Indiana University, Bloomington, IN
(2) Indiana Geological Survey, Bloomington, IN

ABSTRACT: Enhanced Remote Fractured Reservoir Detection and Characterization Through Basin Model / Seismic Image Interpretation Integration

Seismic data cannot yield a complete picture of the fracture network (orientation, length, aperture and connectivity, statistics and petroleum content). In many cases, it cannot distinguish fractures from other rock textural and fluid features (gas saturation, finely laminated sediments, gouge). In this study, we integrate basin simulation with seismic and other data to arrive at a powerful "simulation-enhanced fracture detection" (SEFD) algorithm. SEFD is built on our unique 3-D reaction, transport, mechanical (RTM) simulator Basin RTM integrated with seismic inversion techniques. Preliminary results illustrate the viability of the approach to use seismic data sets of various qualities and types (1-, 2- or 3-D).

Unlike other basin simulators, Basin RTM includes a rock rheology that integrates continuous deformation (poroelastic/viscoplastic) with fracture, gouge and pressure solution. These mechanical processes are used to coevolve deformation with multi-phase flow, petroleum generation, mineral reactions and heat transfer to predict the location and producibility of fracture sweet spots. This simulator, run under SEFD, uses these physico-chemical predictions to integrate well log, surface and core data with the seismic data. This allows us to transcend the ambiguities in seismic interpretation coming from the fact that the number of wave speeds and attenuations at any point in space is far exceeded by the number of rock/fluid properties on which they depend. Our approach is completed by formulas relating these seismic attributes to fluid/rock properties.

AAPG Search and Discovery Article #90906©2001 AAPG Annual Convention, Denver, Colorado