Stochastic pix2pix: A new machine learning method for geophysical and well conditioning of rule-based channel reservoir models

W Pan, C Torres-Verdín, MJ Pyrcz - Natural Resources Research, 2021 - Springer
Constructing subsurface models that accurately reproduce geological heterogeneity and
their associated uncertainty is critical to many geoscience and engineering applications. For …

Machine learning assisted history matching for a deepwater lobe system

H Jo, W Pan, JE Santos, H Jung, MJ Pyrcz - Journal of Petroleum Science …, 2021 - Elsevier
High exploration costs resulting in sparse datasets and complicated geological structures in
deepwater depositional systems make the reservoir characterization extremely difficult. To …

3D modeling of deepwater turbidite lobes: a review of the research status and progress

LF Zhang, M Pan, ZL Li - Petroleum Science, 2020 - Springer
Deepwater turbidite lobe reservoirs have massive hydrocarbon potential and represent one
of the most promising exploration targets for hydrocarbon industry. Key elements of turbidite …

Conditioning well data to rule-based lobe model by machine learning with a generative adversarial network

H Jo, JE Santos, MJ Pyrcz - Energy Exploration & …, 2020 - journals.sagepub.com
Rule-based reservoir modeling methods integrate geological depositional process concepts
to generate reservoir models that capture realistic geologic features for improved subsurface …

[PDF][PDF] Geological objects and physical parameter fields in the subsurface: a review

G Caumon - Handbook of mathematical geosciences: Fifty years …, 2018 - library.oapen.org
Geologists and geophysicists often approach the study of the Earth using different and
complementary perspectives. To simplify, geologists like to define and study objects and …

Geomorphic variability of submarine channelized systems along continental margins: Comparison with fluvial meandering channels

M Lemay, JL Grimaud, I Cojan, J Rivoirard… - Marine and Petroleum …, 2020 - Elsevier
Understanding submarine sediment conduits is a challenging yet rewarding task given its
applications in offshore industries and source-to-sink studies. Despite flow structure …

Using sea-floor morphometrics to constrain stratigraphic models of sinuous submarine channel systems

AP Reimchen, SM Hubbard, L Stright… - Marine and Petroleum …, 2016 - Elsevier
Constructing geologically accurate reservoir models of deep-water strata is challenging due
to the reliance on incomplete or limited resolution datasets. Connecting areas of high …

Conditioning surface-based geological models to well data using artificial neural networks

Z Titus, C Heaney, C Jacquemyn, P Salinas… - Computational …, 2022 - Springer
Surface-based modelling provides a computationally efficient approach for generating
geometrically realistic representations of heterogeneity in reservoir models. However …

Static connectivity of stacked deep-water channel elements constrained by high-resolution digital outcrop models

A Jackson, L Stright, SM Hubbard… - AAPG …, 2019 - archives.datapages.com
High-resolution digital outcrop models of stacked deep-water channel elements are
constructed from the Laguna Figueroa section of the well-exposed Upper Cretaceous Tres …

Slope-fan depositional architecture from high-resolution forward stratigraphic models

N Hawie, JA Covault, D Dunlap, Z Sylvester - Marine and Petroleum …, 2018 - Elsevier
Submarine fans in tectonically active continental-slope basins are targets of petroleum
exploration and production. These slope fans commonly comprise compensationally …