Selective Perforation and Design of Multi-Pattern Infill Wells in Field Development Planning and Optimization Under Geological Uncertainty

Bello, O. O.; Awofodu, D. D.; Oppelt, Joachim; Ganzer, Leonhard; Holzmann, J.

doi:10.4043/27553-ms

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…In [47] was presented a method to select a subset of reservoir model computing the statistics (P10, P50, P90) of the response of interest; use of the genetic algorithm to improve the process of optimisation [48]. Application of an approach with fuzzy analytical hierarchy process for compositional simulation studies of the CO2 injection process [49].…”

Section: Background Studies Of Proxy Modelmentioning

confidence: 99%

“…• Genetic algorithm (GA) -They are stochastic search and optimization heuristics methods from classical evolution theory [157]. Moreover, they require only objective function evaluations to find optimised points, even though the derivative information is not available [48]. Therefore, their extensive application in different fields is proof that they can be applied to various engineering problems [48,60].…”

Section: Other Proxy Modelsmentioning

confidence: 99%

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Development of proxy models for petroleum reservoir simulation: a systematic literature review and state-of-the-art

Silva¹,

Avansi²,

Schiozer³

2020

IJAERS

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Proxy models are derived mathematical functions developed as substitutes for reservoir flow simulators. Several types of proxy models are reported in the literature, for instance, response surface models, surrogate models, or metamodels. These models are fast methods, recommended for their efficient response time to approximate model responses and, therefore, useful in the decision-making process related to reservoir management. These studies focus on modelling a limited set of factors, applications, and case studies of any technique. A systematic literature review (SLR) is performed to gather the aspects prompting the modelling of proxy models in the literature and state-of-the-art. For this, a set of search keywords with appropriate string were utilised to extract the most important studies that satisfied all the criteria defined and classified under journal and conference paper categories. The papers were condensed after removing redundancy, repetition and similarity through a sequential and iterative process. From the analysis carried out, several gaps were identified, especially during the proxy model construction. Proxy models have already been discussed in petroleum engineering as a representation of the real system of reservoir flow simulator software. However, the proxy model response is faster but has yet to establish the issues of uncertainty in the outputs. There is a need for the integration of fast methods and reservoir simulators which can improve and accelerate results within acceptance criteria and accuracy in decisionmaking processes related to reservoir management.

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Section: Background Studies Of Proxy Modelmentioning

confidence: 99%

Section: Other Proxy Modelsmentioning

confidence: 99%

Development of proxy models for petroleum reservoir simulation: a systematic literature review and state-of-the-art

Silva¹,

Avansi²,

Schiozer³

2020

IJAERS

View full text Add to dashboard Cite

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Optimization of Automatic Well Pattern Deployment in High Water-Cut Oilfield

Zhang

Chang

et al. 2023

Journal of Energy Resources Technology

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In view of the problems such as a plurality of dominant water flow channels formed by flushing the reservoir, inferior development effect in the water injection oilfields, reconstructing the current well pattern and providing well pattern evaluation methods are the important ways to enhance oil recovery by improving the injection-production relation, increasing the swept area of water flooding. However, the reservoir engineering methods, the simulation methods, the artificial intelligence algorithms with few objectives enable to comprehensively evaluate the well pattern. In this paper, considering multiple evaluation indexes in oilfield development by the glowworm swarm optimization algorithm and niche technology, automatic well pattern optimization is carried out. The glowworm swarm optimization algorithm has the advantage of efficient global search and simpler algorithm flow, which can speed up the convergence and reduce the parameter adjustment. The niche technology can better maintain the diversity of the solutions, and solve the multimodal optimization problems more efficiently, accurately and reliably. The new method was used to optimized the well pattern of one block in a water flooding oilfield with high water-cut in a certain oilfield. The optimal well pattern is obtained by multiple iterations to maximize the control degree of well pattern to sand body. The results indicate that the injection production correspondence ratio and reserves control degree of the well pattern to sand body are improved by 4.48% and 7.94%.

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Selective Perforation and Design of Multi-Pattern Infill Wells in Field Development Planning and Optimization Under Geological Uncertainty

Cited by 2 publications

References 9 publications

Development of proxy models for petroleum reservoir simulation: a systematic literature review and state-of-the-art

Development of proxy models for petroleum reservoir simulation: a systematic literature review and state-of-the-art

Optimization of Automatic Well Pattern Deployment in High Water-Cut Oilfield

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