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Random noise attenuation and structure protection are always ambivalent problems in seismic data processing. (2008) introduced a frequency-dependent, structurally conformable filter. Traonmilin and Herrmann (2008) used a mix of finite-impulse-response (FIR) and infinite-impulse-response (IIR) filters, followed by f-x filtering, to perform structure-preserving seismic processing. Fomel and Guitton (2006) suggested the method of plane-wave construction. Fehmers and Höcker (2003) applied structure-oriented filtering based on anisotropic diffusion.
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(2006) applied nonlinear filters, such as median, trimmed mean, and adaptive Gaussian, over planar surfaces parallel to the dip. A number of approaches have been proposed to preserve and enhance structural information. Numerical tests using synthetic and field data confirm the effectiveness of proposed structure-enhancing filtering.Įxtracting structural information is the most important goal of seismic interpretation. Parameters of the nonlinear filter allow us to control the balance between eliminating random noise and protecting structural information. We apply a nonlinear similarity-mean filter to select the best samples from different predictions. We use predictive flattening to form a structural prediction of seismic traces from neighboring traces. The method is based on combining predictive flattening with similarity-mean filtering. We present a novel filtering method, which aims at reducing random noise while protecting seismic structures. The aberrancy lineation anomalies are indicative of highly fractured areas wells drilled in these areas display lower oil-water ratio, as well as a higher amount of production, which may be due to the increase in permeability due to the fractures.INTRODUCTION SUMMARY Attenuation of random noise and enhancement of structural continuity can significantly improve the quality of seismic interpretation. The formation micro image (FMI) shows the fracture orientations in trend 2 and trend 3 directions. The trend 3 lineations, which show a right-lateral strike-slip motion, are R Riedel Shear and align with the ASZ. The trend 2 lineations continue upward to the shallower surfaces, as well as they are parallel to the surface lineations identified on the satellite images, which indicates the continued movement of the pre-existing faults. Trend 2 lineations, which show a left-lateral strike-slip motion, are R’ Riedel Shear, are oriented N 65° W truncating against the CBP. Trend 1 lineations are drag folds associated with the Andrews shear zone (ASZ). We observed several strong lineations on seismic attributes extracted along the Woodford surface. We also used, recently developed aberrancy attribute, which illuminates subtle faults and flexures. We computed volumetric seismic attributes including, coherence which can identify faults with a significant amount of throw, along with curvature which can detect flexure and folds. We utilized a 3D seismic survey, a part of the Midland Basin and eastern margin of the Central Basin Platform (CBP), to identify the Early Paleozoic structural elements to study its influence on the HC production from the Permian strata.
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Most of the structural traps in the Permian Basin are associated with the strike-slip fault system, which presented challenges for past structural interpretation completed primarily using well log and 2D seismic data. The structural history of the Permian Basin is extremely complex. The Permian Basin is one of the most important petroleum-producing regions in the United States.