[图书][B] Geostatistical methods for reservoir geophysics

L Azevedo, A Soares - 2017 - Springer
The main motivation for writing this book is to report on an existing repertoire of geostatistical
methods for handling the integration of geophysical information in reservoir modeling and …

Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder

M Liu, D Grana - Advances in Water Resources, 2020 - Elsevier
Carbon dioxide sequestration in deep saline aquifers requires accurate and precise
methods to monitor carbon capture and storage and detect leakage risks. The assessment of …

Integrated modelling framework for enhancement history matching in fluvial channel sandstone reservoirs

HV Thanh, Y Sugai - Upstream Oil and Gas Technology, 2021 - Elsevier
Modelling lithofacies and petrophysical properties are the challenging processes at the
beginning of exploration and production of hydrocarbon reservoirs. However, the limited …

Iterative geostatistical seismic inversion incorporating local anisotropies

P Pereira, I Calçôa, L Azevedo, R Nunes… - Computational …, 2020 - Springer
Geostatistical seismic inversion methods use stochastic sequential simulation as the model
generation and perturbation technique. These stochastic simulation methods use a global …

[HTML][HTML] History matching through dynamic decision-making

CCB Cavalcante, C Maschio, AA Santos, D Schiozer… - PloS one, 2017 - journals.plos.org
History matching is the process of modifying the uncertain attributes of a reservoir model to
reproduce the real reservoir performance. It is a classical reservoir engineering problem and …

A continuous learning algorithm for history matching

CCB Cavalcante, C Maschio, AAS Santos… - … Applications of Artificial …, 2019 - Elsevier
History matching is a classical petroleum reservoir engineering data assimilation process
whereby a reservoir model is calibrated to reproduce the behavior of a real reservoir …

History matching by integrating regional multi-property image perturbation methods with a multivariate sensitivity analysis

GS Oliveira, DJ Schiozer, C Maschio - Journal of Petroleum Science and …, 2017 - Elsevier
Reliable reservoir characterization is essential to predict future behavior, however, scarcity
of data results in uncertainties and consequently, high variability in simulated data. This …

High-dimensional geostatistical history matching: Vectorial multi-objective geostatistical history matching of oil reservoirs and uncertainty assessment

J Carneiro, L Azevedo, M Pereira - Computational Geosciences, 2018 - Springer
Hydrocarbon reservoir modelling and characterisation is a challenging subject within the oil
and gas industry due to the lack of well data and the natural heterogeneities of the Earth's …

A learning-from-data approach with soft clustering and path relinking to the history-matching problem

CCB Cavalcante, CC de Souza, C Maschio… - Journal of Petroleum …, 2021 - Springer
History matching is an important reservoir engineering process whereby the values of
uncertain attributes of a reservoir model are changed to find models that have a better …

Geostatistical history matching-A zonation-based approach using direct sequential simulation

E Barrela, L Azevedo, V Demyanov - 79th EAGE Conference and …, 2017 - earthdoc.org
Simultaneous integration of production data under geological consistency, as part of the
reservoir modelling workflow, still remains a challenge. A geologically consistent approach …