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

AbstractReal-world optimization applications in complex systems always contain multiple factors to be optimized, which can be formulated as multi-objective optimization problems. These problems have been solved by many evolutionary algorithms like MOEA/D, NSGA-III, and KnEA. However, when the numbers of decision variables and objectives increase, the computation costs of those mentioned algorithms will be unaffordable. To reduce such high computation cost on large-scale many-objective optimization problems, we proposed a two-stage framework. The first stage of the proposed algorithm combines with a multi-tasking optimization strategy and a bi-directional search strategy, where the original problem is reformulated as a multi-tasking optimization problem in the decision space to enhance the convergence. To improve the diversity, in the second stage, the proposed algorithm applies multi-tasking optimization to a number of sub-problems based on reference points in the objective space. In this paper, to show the effectiveness of the proposed algorithm, we test the algorithm on the DTLZ and LSMOP problems and compare it with existing algorithms, and it outperforms other compared algorithms in most cases and shows disadvantage on both convergence and diversity.

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Based on the Optimal Learning Algorithm of Vortex Search, the Prediction of Oil Field Development Index is Studied

Journal of Physics Conference Series ◽

10.1088/1742-6596/1881/3/032095 ◽

2021 ◽

Vol 1881 (3) ◽

pp. 032095

Author(s):

Jin Tian

Keyword(s):

Learning Algorithm ◽

Oil Field ◽

Optimal Learning ◽

Development Index ◽

Field Development ◽

Oil Field Development

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Mathematical modeling of economic indices for oil field development

Journal of Applied and Industrial Mathematics ◽

10.1134/s1990478916040086 ◽

2016 ◽

Vol 10 (4) ◽

pp. 520-527

Author(s):

Yu. K. Mizyakin ◽

V. A. Mizyakina ◽

N. A. Petrov

Keyword(s):

Mathematical Modeling ◽

Oil Field ◽

Field Development ◽

Oil Field Development ◽

Economic Indices

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Diagnostic Plots for Production Decline During the Transition of Oil Field Development From Depletion to Water Injection

10.2118/206499-ms ◽

2021 ◽

Author(s):

Vil Syrtlanov ◽

Yury Golovatskiy ◽

Ivan Ishimov

Keyword(s):

Water Injection ◽

Simulation Models ◽

Oil Field ◽

Production Data ◽

Oil Reservoir ◽

Field Development ◽

Well Production ◽

Diagnostic Plots ◽

Oil Field Development ◽

Analytical Approaches

Abstract In this paper the simplified way is proposed for predicting the dynamics of liquid production and estimating the parameters of the oil reservoir using diagnostic curves, which are a generalization of analytical approaches, partially compared with the results of calculations on 3D simulation models and with actual well production data.

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Diagnostic Results of Current Distribution Injected Water Flow in the Productive Formation for Neft Dashlary Oilfield

10.2118/207058-ms ◽

2021 ◽

Author(s):

Khidir Mansum Ibragimov ◽

Nahide Ismat Huseinova ◽

Aliabas Alipasha Gadzhiev

Keyword(s):

Current Distribution ◽

Oil And Gas ◽

Experimental Studies ◽

Oil Field ◽

Fluid Distribution ◽

Field Development ◽

Hydrodynamic Parameters ◽

Oil And Gas Fields ◽

Oil Field Development ◽

Gas Fields

Abstract For controlling the oil field development proposed an economically efficient express calculation and visualization method of the hydrodynamic parameters current values distribution in the productive formation. The presented report shows the results of applying this technique for determining the injected water propagation direction into the productive formation (X horizon) at the «Neft Dashlary» field. Based on the calculated results, the current distribution of the injected water was visualized in the selected section of the formation. High accuracy of the calculation was confirmed by comparing obtained results with the results of a simultaneous tracer study conducted in the field conditions. During tracer studies it was tested a new tracer material, more effective than its analogs. According to laboratory and experimental studies, the addition of 0.003% of this indicator substance to the volume of injected water is the optimal amount for its recognition in the well's product. At the allocated area of the "Neft Dashlari" field, the benefits from the use of the calculation method amounted to 62.9 thousand manats. Based on the obtained satisfying results of the new method for calculating hydrodynamic parameters and the use of a tracer indicator application at the «Neft Dashlary» oilfield, it is recommended to apply these developments in other oil and gas fields for mass diagnostic of the reservoir fluid distribution in a selected area of productive formations.

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