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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3722944-MS
... decision making but also lead to safe and improved concurrent recovery of oil and gas and potash resources in the area. machine learning artificial intelligence log analysis fuzzy logic upstream oil & gas node pore pressure reservoir characterization us government eaton accuracy...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3087-MS
... & simulation reservoir simulation node urtec 3087 refinement rank fluid dynamics geometrical grid transient process corresponding computational domain corner module connection list procedure discrete fracture network grid complex reservoir resolution computational domain transmissibility value...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3102-MS
... grows, a dynamic conversion of FE/FV cells to PD nodes and adaptive mesh refinement are incorporated. The coupling schemes are verified against the KGD fracture propagation problem. No spurious behavior is observed near the transition between PD and FE/FV regions. In the three coupling schemes...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-897-MS
..., machine learning techniques have evolved to provide unmatched insights and develop novel data-driven models. Regression tools could be as simple as least-square error or more advanced like Artificial Neural Network (ANN). ANN is a framework for machine learning algorithms. It relies on a network of nodes...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-543-MS
.... The centroids of these groups are then considered as the nodes of an unstructured grid, and we simultaneously solve for the stress state in each group using damped inversion. To account for the irregularity of the unstructured grid, we use the reciprocal square distance 1/r 2 as weights between nodes...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-335-MS
... & Gas lateral vertex geosteering node strat block length drilling operation graph database structure RSD geosteerer information URTeC stratigraphic depth graph database strat block unconventional resource technology conference database wellbore computing URTeC: 335 Cybersteering...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-336-MS
... Reservoir Surveillance Upstream Oil & Gas production monitoring production forecasting prospective resource diagnostic plot flow regime contingency possible outcome subclass commerciality reservoir production control reserves classification node Simulation RTA contingent...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2901874-MS
... Ettehadtavakkol spatial reasoning node wastewater disposal facility disposal hub Artificial Intelligence geographic information system category Pennsylvania unconventional resource technology conference wastewater production transportation application disposal infrastructure disposal facility...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 24–26, 2017
Paper Number: URTEC-2665304-MS
... Reservoir Characterization Upstream Oil & Gas complex reservoir Artificial Intelligence shale gas Yanchang Formation pore structure connectivity permeability node porosity unconventional resource technology conference network connectivity entropy degree distribution pore connectivity...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 24–26, 2017
Paper Number: URTEC-2691393-MS
... parameters and optimizing the well and hydraulic fracturing design. hydraulic fracturing discretization Upstream Oil & Gas flow simulation Modeling & Simulation eulerian discretization Artificial Intelligence node URTeC eikonal equation reservoir geometry hydraulic fracture...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2015
Paper Number: URTEC-2144933-MS
... of discontinuities at the perforation points of the 1D model is associated with fluid leakoff to the formation. These discontinuities are smoothly treated using two nodes arising naturally at the perforations. The novel contributions and impact of this model include a new perforation model for mass flow rate loss...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2015
Paper Number: URTEC-2154901-MS
...) to identify lithofacies groups in the vertical profiles that possess well-defined marginal distributions in the velocity-density plane. machine learning complex reservoir tda network Artificial Intelligence node spe-178627-m urtec Reservoir Characterization Upstream Oil & Gas plane shale...

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