A parametric fault displacement model to introduce kinematic control into modeling faults from sparse data

Gabriel Godefroy and Guillaume Caumon and Mary Ford and Gautier Laurent and Christopher A.-L. Jackson. ( 2018 )
in: Interpretation, 6:2 (B1-B13)

Abstract

Fault-related displacements impact oil and gas flow predictions at reservoir scales. In this contribution, we integrate a quantitative description of fault-related deformation directly embedded into the structural mod-eling workflow. Consistent fault displacements are produced by using numerical fault operators that deform horizons in accordance with theoretical isolated fault displacement models to generate kinematically consistent structural models. We compare structural modeling approaches based on such fault operators with those relying on interpolation. Several synthetic cross-sections are generated from a reference high-resolution structural model of the Santos Basin, Brazil. Models are reconstructed from this 2D synthetic sparse dataset using both methods. Their ability to produce consistent structural models is assessed by comparing reconstructed and reference models. On this example, kinematic modeling improves the quality of automatically generated models when only few and poor quality observations are available, thus reducing the time needed for structural validation.

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BibTeX Reference

@article{godefroy:hal-01738149,
 abstract = {Fault-related displacements impact oil and gas flow predictions at reservoir scales. In this contribution, we integrate a quantitative description of fault-related deformation directly embedded into the structural mod-eling workflow. Consistent fault displacements are produced by using numerical fault operators that deform horizons in accordance with theoretical isolated fault displacement models to generate kinematically consistent structural models. We compare structural modeling approaches based on such fault operators with those relying on interpolation. Several synthetic cross-sections are generated from a reference high-resolution structural model of the Santos Basin, Brazil. Models are reconstructed from this 2D synthetic sparse dataset using both methods. Their ability to produce consistent structural models is assessed by comparing reconstructed and reference models. On this example, kinematic modeling improves the quality of automatically generated models when only few and poor quality observations are available, thus reducing the time needed for structural validation.},
 author = {Godefroy, Gabriel and Caumon, Guillaume and Ford, Mary and Laurent, Gautier and Jackson, Christopher A.-L.},
 doi = {10.1190/INT-2017-0059.1},
 hal_id = {hal-01738149},
 hal_version = {v1},
 journal = {{Interpretation}},
 number = {2},
 pages = {B1-B13},
 pdf = {https://hal.univ-lorraine.fr/hal-01738149/file/GodefroyKinematicModeling_twocol.pdf},
 publisher = {{SAGE Publications}},
 title = {{A parametric fault displacement model to introduce kinematic control into modeling faults from sparse data}},
 url = {https://hal.univ-lorraine.fr/hal-01738149},
 volume = {6},
 year = {2018}
}