Introducing more kinematics while modeling faults from sparse data
in: 2016 RING Meeting, ASGA
Abstract
3D structural modeling relies on interpolation tools to build the geometries of the horizons be-
tween interpretation and data points. As this method does not constrain fault displacements, it is
common to test the obtained structural model using kinematic rules such as balanced restoration.
Fault operators have also been proposed to introduce more kinematics directly while modeling
faulted structures. However, no studies have compared the use of such fault operator based struc-
tural modeling workflows with workflows relying on interpolation.
In this paper, we compare 3D structural models built from 2D cross-sections with two workflows:
one relying on a fault operator, and the other using interpolation. A reference structural model is
constructed using high resolution seismic data from the Santos Basin, Brazil. Then, 2D synthetic
cross-sections are generated from this model. The model is reconstructed from these data using
both workflows. The capacities of the modeling methods are assessed by comparing reconstructed
and reference models.
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BibTeX Reference
@inproceedings{RUNKJRM43, abstract = { 3D structural modeling relies on interpolation tools to build the geometries of the horizons be- tween interpretation and data points. As this method does not constrain fault displacements, it is common to test the obtained structural model using kinematic rules such as balanced restoration. Fault operators have also been proposed to introduce more kinematics directly while modeling faulted structures. However, no studies have compared the use of such fault operator based struc- tural modeling workflows with workflows relying on interpolation. In this paper, we compare 3D structural models built from 2D cross-sections with two workflows: one relying on a fault operator, and the other using interpolation. A reference structural model is constructed using high resolution seismic data from the Santos Basin, Brazil. Then, 2D synthetic cross-sections are generated from this model. The model is reconstructed from these data using both workflows. The capacities of the modeling methods are assessed by comparing reconstructed and reference models. }, author = { Godefroy, Gabriel AND Laurent, Gautier AND Caumon, Guillaume AND Ford, Mary }, booktitle = { 2016 RING Meeting }, publisher = { ASGA }, title = { Introducing more kinematics while modeling faults from sparse data }, year = { 2016 } }