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Machine learning in subsurface physical properties and lithofacies prediction in a mining context. [PDF]

open access: yesSci Rep
Balaguera A   +9 more
europepmc   +1 more source

Petrophysics

2021
Рассмотрены основные петрофизические свойства горных пород, слага-ощих разрезы месторождений: инженерные, физико-механические, электриче-ские, теплофизические и другие свойства горных пород, а также свойства минералов в ультрадисперсном состоянии. Подробно описаны петрофизические свойства наночастиц и наноматериалов.
V Zakryakin   +5 more
openaire   +1 more source

PETROPHYSICS SKILL SET GUIDELINES FOR INDEPENDENT PETROPHYSICAL CONTRIBUTORS

SPWLA 62nd Annual Online Symposium Transactions, 2021
During the 2014 SPWLA Topical Meeting on “Educating the Petrophysicist”, it recommended that “A minimum set of standards in terms of both knowledge and skills (competencies) for an entry level petrophysicist (SPWLA, 2014). Similar proposal has been raised before as well (Loermans, 2002). With the rapid advance in technology, continuous crew change, and
Z. Zack Liu, S. Mark Ma
openaire   +1 more source

Petrophysical Seismic Inversion

SEG Technical Program Expanded Abstracts 2005, 2005
As part of a two years collaborative RD the geomodels are not simply conditioned to seismic attributes by seismic-guided mapping but reproduce prestack seismic measurements (Bornard et al., 2005). A key component of the inversion methodology is a Petro-Elastic Model (PEM) that links the reservoir properties stored in the geomodel (e.g., porosity, rock ...
Thierry Coléou   +4 more
openaire   +1 more source

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