Deformation within a strike-slip fault network at Westward Ho!, Devon U.K.: Domino vs conjugate faulting

Nixon, Casey W.; Sanderson, David J.; Bull, Jonathan M.

doi:10.1016/j.jsg.2011.03.009

Cited by 40 publications

(36 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This uses the fault orientation and dip separation to construct the Lagrangian strain tensor, as described by Peacock and Sanderson (1993) and Nixon et al (2011). This involves calculating the eigenvalues and eigenvectors of the Lagrangian strain tensor (E ij ) when sampling faults from a plane:…”

Section: Network Analysismentioning

confidence: 99%

“…These can either be conjugate fault sets (e.g., Zhao and Johnson, 1991;Nicol et al, 1995;Ferrill et al, 2009;Nixon et al, 2011) that formed in the same stress system, or multiple fault sets that form from the overprinting of two or more stress systems (Davatzes et al, 2003;Bailey et al, 2005). The latter can form new faults with different orientations and/or cause reactivation of pre-existing faults (e.g., Kim et al, 2001), which can also have a strong influence on the development of later fault sets (e.g., Segall and Pollard, 1983;Bailey et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fault interactions and reactivation within a normal-fault network at Milne Point, Alaska

Nixon¹,

Sanderson²,

Dee³

et al. 2014

Bulletin

Self Cite

View full text Add to dashboard Cite

A normal-fault network from Milne Point, Alaska, is investigated focusing on characterizing geometry, displacement, strain, and different fault interactions. The network, constrained from threedimensional seismic reflection data, comprises two generations of faults: Cenozoic north-northeast-trending faults and Jurassic west-northwest-trending faults, which highly compartmentalize Upper Triassic to Lower Cretaceous reservoirs. The west-northwest-trending faults are influenced by a similarly oriented underlying structural grain. This influence is characterized by increases in throw on several faults, strain localization, reorientation of faults and an increase in linkage maturity.Reconstructing fault plane geometries and mapping spatial variations in throw identified key characteristic features in their interactions and reactivation of pre-existing structures. Faults are divided into isolated, abutting, and splaying faults. Isolated faults exhibit a range of displacement profiles depending on the degree of restriction at fault tips. Fault splays accommodate step-like decreases in throw along larger main faults with a throw maximum at the intersection with the main fault. Throw profiles of abutting faults are divided into two groups: early stage abutting faults with throw minima at both the isolated and abutting tips, and developed abutting faults with throw maxima near the abutting tip.Developed abutting faults accumulate throw after initial abutment, locally reactivating and transferring throw onto the preexisting fault. Two abutting faults can link kinematically by Stephen Dee is a senior structural geologist at BP, working in the Integrated Subsurface Description and Modelling team and consulting on structural and geomechanics projects. He has a Ph.D. from the University of Southampton and specializes in fault and fracture interpretation, geomechanical modeling, and seal analysis.

show abstract

Section: Network Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fault interactions and reactivation within a normal-fault network at Milne Point, Alaska

Nixon¹,

Sanderson²,

Dee³

et al. 2014

Bulletin

Self Cite

View full text Add to dashboard Cite

show abstract

“…Some domains may 337 accommodate greater strains than others (e.g. Nixon et al, 2011) and some 338 individual faults may contribute more strain than others (e.g. Putz-Perrier and 339 Sanderson, 2008aSanderson, , 2008b.…”

mentioning

confidence: 99%

Localized vs distributed deformation associated with the linkage history of an active normal fault, Whakatane Graben, New Zealand

Nixon¹,

Bull²,

Sanderson³

2014

Journal of Structural Geology

Self Cite

View full text Add to dashboard Cite

“…The fault displacement is parameterized by the maximum displacement D max and three profiles (Figure 1 Nixon et al (2011) and throw-distance profiles by Tvedt et al (2016)), and across-fault D f profiles. Structural geologists use along-strike and along-dip profiles to: (1) study fault displacement versus length scaling laws (Kim and Sanderson, 2005), (2) distinguish post-and syn-sedimentary faults (Baudon and Cartwright, 2008) and investigate fault growth history (Giba et al, 2012), and (3) guide the interpretation of faulted structures when little data is available (Barnett et al, 1987;Freeman et al, 1990),…”

Section: Fault Displacementmentioning

confidence: 99%

“…Displacement is usually quantified on the fault surface using displacement vectors (Liang et al, 2010;Hale, 2013), displacement maps (Freeman et al, 2010;Tvedt et al, 2013Tvedt et al, , 2016 or throw profiles along strike or down-dip (Willemse, 1997;Peacock, 2002;Nixon et al, 2011;Jackson and Rotevatn, 2013;Magee et al, 2015). However, the near-field displacement is not only expressed by the slip along the fault surface (Figure 1.b), but also by the displacement in the surrounding stratigraphy (Figure 1.c).…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2018

View full text Add to dashboard Cite

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 modeling 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.

show abstract

Deformation within a strike-slip fault network at Westward Ho!, Devon U.K.: Domino vs conjugate faulting

Cited by 40 publications

References 46 publications

Fault interactions and reactivation within a normal-fault network at Milne Point, Alaska

Fault interactions and reactivation within a normal-fault network at Milne Point, Alaska

Localized vs distributed deformation associated with the linkage history of an active normal fault, Whakatane Graben, New Zealand

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

Contact Info

Product

Resources

About