1887

Abstract

Seismic fracture prediction is becoming a more important exploration and development problem with the growing focus on unconventional reservoirs. A non-linear inversion technique is presented to estimate layer-based fracture parameters on azimuthal reflectivity data. The earth model assumes a single set of vertical fractures per layer parameterized in terms of linear slip parameters - the normal and tangential fracture weaknesses - and fracture strike. A linearized form of the Zoeppritz equations expressed in terms of Fourier Coefficients is used in a convolutional modelling scheme to estimate seismic amplitude data. The inverse problem is solved in a nonlinear fashion using simulated annealing. The new technique has several advantages over performing amplitude versus azimuth analysis (AVAz).

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/content/papers/10.3997/2214-4609.20131806
2013-11-05
2020-07-05
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20131806
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