Machine learning applied to evaluation of reservoir connectivity

LAM Ramalho, JAR Tueros, B Horowitz - Neural Computing and …, 2024 - Springer
In mature reservoirs, there are hundreds or thousands of producing and injecting wells
operating simultaneously, so it is important to understand the impact of injection wells on …

Machine Learning-Enhanced Forecasting for Efficient Water-Flooded Reservoir Management

U Sinha, S Gautam, B Dindoruk… - SPE Improved Oil …, 2024 - onepetro.org
This study focuses on the crucial aspect of inter-well connectivity (IWC) in waterflooding
operations, acting as a key indicator of the efficiency of connections between production and …

Erratum to: Characterizing interwell connectivity in waterflooded reservoirs using data-driven and reduced-physics models: a comparative study

E Artun - Neural Computing and Applications, 2017 - Springer
Unfortunately, in the original published article, Accuracy subsection of Section 3.2, Table 4
and Table 5 were not correct. The correct text for the Accuracy subsection and Tables 4 and …

Characterizing interwell connectivity in waterflooded reservoirs using data-driven and reduced-physics models: a comparative study

E Artun - Neural Computing and Applications, 2017 - Springer
Waterflooding is a significantly important process in the life of an oil field to sweep previously
unrecovered oil between injection and production wells and maintain reservoir pressure at …

Reservoir connectivity identification and robust production forecasting using physics informed machine learning

M Nagao, A Datta-Gupta, T Onishi… - SPE Reservoir …, 2023 - onepetro.org
Routine well-wise injection/production data contain significant information which can be
used for closed-loop reservoir management and rapid field decisions. Traditional physics …

Inferring interwell connectivity using production data

C Tian, RN Horne - SPE Annual Technical Conference and Exhibition …, 2016 - onepetro.org
A key issue of waterflooding is to locate the injectors so as to optimize the production from
producers. To resolve the issue in the face of geologically variation, we need to understand …

Comment on “Characterizing interwell connectivity in waterflooded reservoirs using data-driven and reduced-physics models: A comparative study” by E. Artun DOI …

JL Jensen - Neural Computing and Applications, 2017 - Springer
The paper sets out to compare interwell connectivities estimated by three methods: reservoir
flow simulation, artificial neural network (ANN), and the capacitance model (CRM). The …

Enhancing Sustainability in Reservoir Management Via a Deep Learning Well Connectivity Determination Framework

K Katterbauer, A Yousif - 83rd EAGE Annual Conference & Exhibition, 2022 - earthdoc.org
We have developed a new innovative framework for the well connectivity determination in
order to enhance sustainability of reservoir water flooding operations. The framework …

ANN based interwell connectivity analysis in cyber-physical petroleum systems

H Cheng, X Han, P Zeng, H Yu… - 2019 IEEE 17th …, 2019 - ieeexplore.ieee.org
In cyber-physical petroleum systems (CPPS), accurate estimation of interwell connectivity is
an important process to know reservoir properties comprehensively, determine water …

Predicting waterflooding performance in low-permeability reservoirs with linear dynamical systems

D Wang, D Niu, HA Li - Spe Journal, 2017 - onepetro.org
Several interwell connectivity models such as multiple linear regression (MLR) and the
capacitance model (CM) have been proposed to model waterflooding performance in high …