Reservoir management under geological uncertainty using fast model update

R Hanea, G Evensen, L Hustoft, T Ek, A Chitu… - SPE Reservoir …, 2015 - onepetro.org
Abstract Statoil is implementing “Fast Model Update (FMU),” an integrated and automated
workflow for reservoir modeling and characterization. FMU connects all steps and …

[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 …

Adjoint-based history matching of structural models using production and time-lapse seismic data

S Kahrobaei, GM Van Essen, JF Van Doren… - SPE Reservoir …, 2013 - onepetro.org
In spite of large uncertainties in the actual reservoir structure, structural parameters of a
reservoir model are usually fixed during history matching and only the flow properties of the …

A Digital Twin for Reservoir Simulation

E Keilegavlen, E Fonn, K Johannessen… - SPE Norway …, 2024 - onepetro.org
We have developed a physical room-scale porous media flow rig for operating, measuring,
and visualizing reservoir flows in real time–the FluidFlower. The flow rig scale is large …

Utilization of time-lapse seismic for reservoir model conditioning

M Alerini, M Ayzenberg, T Ek, T Feng… - … EAGE Conference and …, 2014 - earthdoc.org
Seismic information may be used for reservoir model updates, but typically only in a
qualitative fashion. Whilst quantitative use of time-lapse seismic data may significantly …

Added value by fast and robust conditioning of structural surfaces to horizontal wells for real-world reservoir models

VR Stenerud, H Kallekleiv, P Abrahamsen… - SPE Annual Technical …, 2012 - onepetro.org
Structural updates for a complex reservoir model require time-consuming manual work,
therefore, updates are rarely performed. This leads to an outdated model that gradually …

DISTINGUISH Workflow: a New Paradigm of Dynamic Well Placement Using Generative Machine Learning

S Alyaev, K Fossum, HE Djecta, J Tveranger… - ECMOR 2024, 2024 - earthdoc.org
Optimization of well placement in changing conditions during drilling aims to ensure
maximum return on investment while constraining risk. This real-time process of drill-bit …

Revolutionizing Reservoir Structure Modeling Workflow for Exponential Acceleration of Horizontal Well Placement in Complex Reservoir Models

MS Salib, W Albreiki, AMA Rahman… - Abu Dhabi International …, 2024 - onepetro.org
Traditional structural modeling methods struggle with time-consuming updates and
imprecise well placements within reservoir models. Current algorithms falter with closely …

[HTML][HTML] Quantifying the impact of the structural uncertainty on the gross rock volume in the Lubina and Montanazo oil fields (Western Mediterranean)

CP Bárbara, P Cabello, A Bouche, I Aarnes… - Solid Earth, 2019 - se.copernicus.org
Structural uncertainty is a key parameter affecting the accuracy of the information contained
in static and dynamic reservoir models. However, quantifying and assessing its real impact …

Towards a hierarchical parametrization to address prior uncertainty in ensemble-based data assimilation

AA Emerick - Computational Geosciences, 2016 - Springer
Ensemble-based methods are becoming popular assisted history matching techniques with
a growing number of field applications. These methods use an ensemble of model …