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Fault detection using principal component analysis of seismic attributes in the Bakken Formation, Williston Basin, North Dakota, USA
- Source :
- Interpretation. 5:T361-T372
- Publication Year :
- 2017
- Publisher :
- Society of Exploration Geophysicists, 2017.
-
Abstract
- Seismic fault detection using principal component analysis (PCA) is an effective method for interpreting fault distribution and orientations in the Bakken Formation. The PCA fault attribute indicates significantly different, and geologically more plausible, 3D fault distributions than conventional seismic attributes, such as curvature. The PCA fault attribute has identified different fault patterns in the Upper, Middle, and Lower Bakken members and the Three Forks Formation. Two distinct fault trends in approximately 40°–50° northeast–southwest and 50°–60° northwest–southeast directions are observed in the Bakken Formation in the study area, and they are apparent on the strike and dip attributes derived from the PCA fault attribute. Fault cuts interpreted from missing well-log sections correlate well with the PCA fault attribute. Seismically derived fault orientations correlate with borehole image log data in the horizontal wells. Crossing conjugate faults observed on the fault dip attribute may result in the widening of the faulted area and localized thinning of the rock sequence where the faults intersect, and this could potentially enhance permeability along the fault strike.
- Subjects :
- geography
Strike and dip
geography.geographical_feature_category
Horizontal wells
020209 energy
Borehole
Geology
02 engineering and technology
Structural basin
Fault (geology)
010502 geochemistry & geophysics
01 natural sciences
Fault detection and isolation
Geophysics
Principal component analysis
0202 electrical engineering, electronic engineering, information engineering
Reservoir modeling
Seismology
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 23248866 and 23248858
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Interpretation
- Accession number :
- edsair.doi...........ca5e7b1205b924628a0d639fbf9fdc63