2019•Unpublished venueRequires access

Constraints guided basis pursuit prestack AVA inversion

Fan Xia, Shuang Zhao, Weinan Ding, Yequan Chen

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Abstract

Prestack basis pursuit AVA inversion that is developed to obtain sparse elastic reflectivities provides a means to improve accuracy and resolution of subsurface layer properties for interpretation. To overcome the ill-posed problem, constraints have been introduced to stabilize the inversion process and avoid meaningless solutions. Inappropriate use of constraints into basis pursuit inversion will compromise the inversion result. In this paper, we propose a new approach to incorporate background trends into the objective function to reduce the nonuniqueness of the solutions and enhance the stability and accuracy of the prestack basis pursuit inversion. A smoothing priori model constraint and a priori P-wave and S-wave velocity ratio constraint that are suitable for basis pursuit algorithm are built into the inversion process. Tests on both synthetic and real seismic data are shown to demonstrate the validity of the new approach. Presentation Date: Wednesday, September 18, 2019 Session Start Time: 8:30 AM Presentation Time: 9:45 AM Location: 217D Presentation Type: Oral

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Prestack basis pursuit AVA inversion that is developed to obtain sparse elastic reflectivities provides a means to improve accuracy and resolution of subsurface layer properties for interpretation. To overcome the ill-posed problem, constraints have been introduced to stabilize the inversion process and avoid meaningless solutions. Inappropriate use of constraints into basis pursuit inversion will compromise the inversion result. In this paper, we propose a new approach to incorporate background trends into the objective function to reduce the nonuniqueness of the solutions and enhance the stability and accuracy of the prestack basis pursuit inversion. A smoothing priori model constraint and a priori P-wave and S-wave velocity ratio constraint that are suitable for basis pursuit algorithm are built into the inversion process. Tests on both synthetic and real seismic data are shown to demonstrate the validity of the new approach. Presentation Date: Wednesday, September 18, 2019 Session Start Time: 8:30 AM Presentation Time: 9:45 AM Location: 217D Presentation Type: Oral

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Available abstract

Prestack basis pursuit AVA inversion that is developed to obtain sparse elastic reflectivities provides a means to improve accuracy and resolution of subsurface layer properties for interpretation. To overcome the ill-posed problem, constraints have been introduced to stabilize the inversion process and avoid meaningless solutions. Inappropriate use of constraints into basis pursuit inversion will compromise the inversion result. In this paper, we propose a new approach to incorporate background trends into the objective function to reduce the nonuniqueness of the solutions and enhance the stability and accuracy of the prestack basis pursuit inversion. A smoothing priori model constraint and a priori P-wave and S-wave velocity ratio constraint that are suitable for basis pursuit algorithm are built into the inversion process. Tests on both synthetic and real seismic data are shown to demonstrate the validity of the new approach. Presentation Date: Wednesday, September 18, 2019 Session Start Time: 8:30 AM Presentation Time: 9:45 AM Location: 217D Presentation Type: Oral

Key concepts: Basis pursuit, Prestack, Inversion (geology), Computer science, Basis (linear algebra), Matching pursuit, Geology, Algorithm

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