The performance evaluation and design optimisation of multiple fractured horizontal wells in tight reservoirs

MoradiDowlatabad, Mojtaba; Jamiolahmady, Mahmoud

doi:10.1016/j.jngse.2017.10.011

Cited by 14 publications

(4 citation statements)

References 5 publications

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“…MoradiDowlatabad et al [7] used statistical algorithms coupled with numerical reservoir simulations to evaluate the simultaneous impacts of important pertinent parameters on the performance of different MFHW designs at various production periods. They applied Latin hypercube sampling and Eclipse 100 black oil simulator, nevertheless fixed external dimensions of the model, along with fixed porosity, reservoir depth, temperature, and initial reservoir pressure, were used in all simulated cases.…”

Section: Introductionmentioning

confidence: 99%

An Artificial Neural Network Model for a Comprehensive Assessment of the Production Performance of Multiple Fractured Unconventional Tight Gas Wells

Klimkowski

2024

Energies

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The potential of unconventional hydrocarbon resources has been unlocked since the hydraulic fracturing technique in combination with long horizontal wells was applied to develop this type of reservoir economically. The design and optimization of the fracturing treatment and the stimulated reservoir volume and the forecasting of production performance are crucial for the development and management of such resources. However, the production performance of tight gas reservoirs is a complicated nonlinear problem, described by many parameters loaded with uncertainty. The complexity of the problem influences and inspires the sophistication of the solution to be used. This paper proposed an artificial network model that allows for fast, extended, and accurate analyses of the production performance of multiple fractured unconventional tight gas wells. In the comprehensive approach developed, the reservoir rock parameters, the drainage area, and the hydraulic fracture parameters are treated as a variable input to the model. The analysis is no longer constrained by fixed “shoes box” geometry, and the values of the parameters defining the reservoir and stimulated volume are not limited to a few discrete values. The numerical experiment used to construct a database for model development was designed using a genetically optimized Latin hypercube sampling technique. A special approach was used in the preparation of “blind data”, which are crucial for truly reliable model verification. In the result, a developed tool offers an extended rock-fluid description, flexible model, and stimulated reservoir volume dimensioning and parameterization, as well as a high degree of applicability in sensitivity analysis and/or optimization.

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Section: Introductionmentioning

confidence: 99%

An Artificial Neural Network Model for a Comprehensive Assessment of the Production Performance of Multiple Fractured Unconventional Tight Gas Wells

Klimkowski

2024

Energies

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“…However, the actual fracture extension is very complex, and the simplified simulation model cannot accurately reflect the real situation of reservoir fracture extension. Second, the reservoir numerical simulation method has been used to set the cumulative production or stimulation period as the objective function, and the optimal objective function has been used to select the best fracture parameters (Moradidowlatabad and Jamiolahmady, 2018). However, it is easy to form a multi-scale fracture network with a highly complex topological structure in the large-scale hydraulic fracturing of shale oil.…”

Section: Introductionmentioning

confidence: 99%

Optimizing construction parameters for fractured horizontal wells in shale oil

Liu

Li²,

Jia³

et al. 2023

Front. Earth Sci.

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Shale oil is mainly extracted by fracturing. However, it is difficult to determine the optimum construction parameters to obtain maximum productivity. In this paper, a fuzzy comprehensive production evaluation model for fractured shale oil horizontal wells based on random forest algorithm and coordinated principal component analysis is proposed. The fracturing parameters of the target wells are optimized by combining this model with an orthogonal experimental design. The random forest algorithm was used to calculate the importance of data sample factors. The main controlling factors of the production of fractured horizontal wells in shale oil were obtained. To reduce the noise of the sample data, principal component analysis was used to reduce the dimensions of the main control factors. Furthermore, the random forest algorithm was used to determine the weight of the principal components after reducing the dimensionality. The membership function of the main control factors after reducing dimensionality was established by combining the fuzzy statistics and assignment methods. In addition, the membership matrix of the effect prediction of fractured horizontal wells in shale oil was determined. The fuzzy comprehensive evaluation method is used to score and evaluate the effect of fractured horizontal wells. Combined with the orthogonal experimental design method, the optimized parameter design of a fractured horizontal well considering the comprehensive action of multiple parameters is realized. After construction according to the optimized parameters, production following fracturing increases significantly. This verifies the rationality of the optimization method that is proposed in this paper.

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“…However, tight reservoirs are usually characterized by small pore throats, low permeability, large seepage resistance, and low single well production, and the effective development rates of the tight oil reservoirs are low (Lin et al., 2018, 2019; Shanley and Cluff, 2015; Wang et al., 2018). In order to improve the development efficiency, the staged fracturing horizontal well technology emerged (Moradidowlatabad and Jamiolahmady, 2018a, 2018b; Shen et al., 2018; Yu et al., 2017). The United States, Canada, and many other countries have initiated gas displacement production in their oilfields.…”

Section: Introductionmentioning

confidence: 99%

Supplementary energy development boundaries of staged fracturing horizontal wells in tight oil reservoirs

Lin

Shengchun³

et al. 2020

Energy Exploration & Exploitation

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Staged fracturing horizontal well technology is an important means of improving tight reservoir development efficiency. Taking a typical tight oil block in the Oilfield A as the studied area, the vertical well–horizontal well joint arrangement pattern is adopted in this study. The energy supplementary development effects of multiple permeability scales, different arrangement spacing, and different media (H2O, CO2) are discussed through the numerical simulation method. Combined with the principles of petroleum technology economics, the economic evaluation model for staged fracturing horizontal wells in tight oil reservoir development is proposed, thereby determining the technical boundary and economic boundary of supplementary energy development with different media. Studies indicate that the technical boundary and economic boundary of water-flooding development in the Oilfield A are 0.4 and 0.8 mD, respectively, and the technical boundary and economic boundary of CO2-flooding development are 0.1 and 0.4 mD, respectively. This study provides theoretical support for field operation of Oilfield A and guidance for selection of development mode for tight oil reservoirs.

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The performance evaluation and design optimisation of multiple fractured horizontal wells in tight reservoirs

Cited by 14 publications

References 5 publications

An Artificial Neural Network Model for a Comprehensive Assessment of the Production Performance of Multiple Fractured Unconventional Tight Gas Wells

An Artificial Neural Network Model for a Comprehensive Assessment of the Production Performance of Multiple Fractured Unconventional Tight Gas Wells

Optimizing construction parameters for fractured horizontal wells in shale oil

Supplementary energy development boundaries of staged fracturing horizontal wells in tight oil reservoirs

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