Unconventional hydrocarbon resources: geological statistics, petrophysical characterization, and field development strategies

T Muther, HA Qureshi, FI Syed, H Aziz, A Siyal… - Journal of Petroleum …, 2022 - Springer
Hydrocarbons exist in abundant quantity beneath the earth's surface. These hydrocarbons
are generally classified as conventional and unconventional hydrocarbons depending upon …

A review on closed-loop field development and management

A Mirzaei-Paiaman, SMG Santos… - Journal of Petroleum …, 2021 - Elsevier
Closed-loop field development and management (CLFDM) is defined as a periodic update
of an uncertain field model using the latest measurements (data assimilation), followed by …

A two-stage optimization strategy for large-scale oil field development

Y Nasir, O Volkov, LJ Durlofsky - Optimization and Engineering, 2021 - Springer
The optimization of the locations of a large number of wells in an oil or gas field represents a
challenging computational problem. This is because the number of optimization variables …

Adjoint-based well placement optimisation for Enhanced Oil Recovery (EOR) under geological uncertainty: From seismic to production

EI Epelle, DI Gerogiorgis - Journal of Petroleum Science and Engineering, 2020 - Elsevier
The development of new and existing oil fields is very expensive and technically
challenging; this provides an important economic incentive to improve oil recovery via …

[HTML][HTML] An ensemble-based decision workflow for reservoir management

Y Chang, G Evensen - Journal of Petroleum Science and Engineering, 2022 - Elsevier
It is challenging to make optimal field development and reservoir management decisions
with diminishing resources and low-emission requirements. For an optimal exploitation of …

A robust, multi-solution framework for well placement and control optimization

M Salehian, MH Sefat, K Muradov - Computational Geosciences, 2022 - Springer
Field development and control optimization aim to maximize the economic profit of oil and
gas production while considering several sources of uncertainty. This results in a high …

Production Profiling of a Long Dead Well–A Prime Case Study of Operational and Technical Excellence Using Simultaneous Lifting and Logging Services

S Akram, H Yousaf, O Nawaz, Z Ashraf… - Abu Dhabi …, 2022 - onepetro.org
Reservoir surveillance and production optimization will remain at the forefront of company
strategies in the new post-COVID19 environment. We anticipate that companies will focus …

[HTML][HTML] Improving sequential decisions–Efficiently accounting for future learning

L Wang, DS Oliver - Journal of Petroleum Science and Engineering, 2021 - Elsevier
In sequential field development planning, past decisions not only directly affect the
maximum achievable expected NPV but also influence the future information that can be …

[PDF][PDF] Conceptual advances in petrophysical inversion techniques: The synergy of machine learning and traditional inversion models

O Uchendu, KO Omomo, AE Esiri - Engineering Science & Technology … - researchgate.net
Uchendu, Omomo, & Esiri, P. No. 3160-3179 Page 3161 inversion models have been
successfully applied, such as the estimation of porosity and permeability, seismic inversion …

[图书][B] Deep Reinforcement Learning for Practical Closed-Loop Reservoir Management

Y Nasir - 2022 - search.proquest.com
Traditional closed-loop reservoir management (CLRM) entails the repeated application of
history matching (based on newly observed data) followed by optimization of well settings …