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Keywords: seismic data
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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3722231-MS
... Abstract Diffraction imaging has been used in fault imaging and direct fracture imaging for many years in surface seismic data processing. Surface seismic processing has generally focused on fault zones that are on the order of meters in thickness. According to theory and modeling results...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5534-MS
..., to avoid structural drilling hazards, and to untangle parent/child well communication. Lately, reactivation of natural fractures due to fracking activity has also been a concern for environmental reasons. The use of seismic data combined with emerging technologies like AI deep learning tools can help image...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5279-MS
... the effective stress from seismic data using a combination of elastic properties estimated from an AVO inversion and petrophysical parameters estimated from a rock physics inversion of seismic data from the Montney in NE British Columbia, Canada. Introduction Assuming a relaxed basin with zero tectonic...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5659-MS
... of salt. These phenomena may all cause excessive non-productive time (NPT) or may cause the wellbore's possible loss in extreme circumstances. Introduction A subset of a 3D prestack depth imaged seismic data covering 51 square miles (132 km 2 ) acquired in Midland and Upton Counties, Texas, was used...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-1028-MS
... log analysis complex reservoir machine learning artificial intelligence upstream oil & gas seismic data reservoir characterization shale gas modeling coefficient rock physics model anisotropy variation seismic property toc well logging structural geology avo curve shale...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2442-MS
.... The quality of these models were controlled by 1D petrophysical, and seismic-facies analysis in the study wells. These models would assist in identifying sweet-spots and be utilized in static and dynamic reservoir modeling. We used wireline logs, core analysis, XRD data, seismic data, and structural...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2464-MS
... Abstract Onshore 3D seismic is costly and time-consuming to acquire, and because of the fast cycle times in unconventional resource plays, many operators use previously acquired and processed 3D seismic data. Older datasets often suffer from a host of data quality problems, including statics...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2780-MS
... hydraulic fracture simulation, and reservoir flow modeling helped establish a baseline understanding of the relationship between 3D reservoir characterization and proppant transport. Seismic data was interpreted to understand structural components and natural fracture characterization. Elastic inversions...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3297-MS
... and will include a future acquisition of a large 3D seismic program. With this evaluation is a commitment to future testing, drilling and stimulation of unconventional wells to help better define the resource play. A review of the geochemical, petrophysical and vintage 2D seismic data establishes an extensive...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2710-MS
... spots using core samples, wire-line log data of 13 wells and seismic data. Pre-stack simultaneous angle-dependent seismic inversion was carried out to estimate elastic and Geomechanical properties (helps in estimating brittleness) of shale gas reservoirs. Organic material has a significant impact...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2900-MS
... their impact on regional exploration and reservoir characterization, as well as pre-drilling hazard analysis are pondered, a relatively lesser number of published cases are available for both conventional and unconventional shale reservoirs. This number can be minor if 3-D seismic data (and Seismic...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-564-MS
... that are unfavorably oriented in the ambient stress field and releasing as much as 1000 times the energy of an average microseismic earthquake. We identified multiple long period long duration (LPLD) earthquakes in the surface seismic data recorded during hydraulic fracturing of the two Middle Wolfcamp Shale wells...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-602-MS
... fault likelihood Upstream Oil & Gas Reservoir Characterization orientation Artificial Intelligence Thickness Sonnenberg calculation seismic data information fault throw horizontal well normal fault graben-bounding fault semblance Fault interpretation Niobrara structure...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-902-MS
... operations. This study describes the geologic controls on porosity and permeability distributions in GYBG-SNDR across the Midland Basin by utilizing core, modern well log suites, 3D seismic data, and saltwater disposal (SWD) well data. In 2017, Pioneer acquired more than 1,000 feet of core in three wells...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-557-MS
... terabytes of data. During the past several years, various machine learning methods including unsupervised, supervised and deep learning have been developed to better cope with such large amounts of information. In this study we apply several unsupervised machine learning methods to a seismic data volume...

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