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An application of a genetic algorithm in co-optimization of geological CO2 storage based on artificial neural networks

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CLEAN ENERGY 2024年第1期8卷 111-125页

作者： Vaziri, Pouya Sedaee, Behnam Univ Tehran Inst Petr Engn Coll Engn Chem Engn Dept Tehran Iran

Global warming, driven by human-induced disruptions to the natural carbon dioxide (CO2) cycle, is a pressing concern. To mitigate this, carbon capture and storage has emerged as a key strategy that enables the continued use of fossil fuels while transitioning to cleaner energy sources. Deep saline aquifers are of particular interest due to their substantial CO2 storage potential, often located near fossil fuel reservoirs. In this study, a deep saline aquifer model with a saline water production well was constructed to develop the optimization workflow. Due to the time-consuming nature of each realization of the numerical simulation, we introduce a surrogate aquifer model derived from extracted data. The novelty of our work lies in the pioneering of simultaneous optimization using machine learning within an integrated framework. Unlike previous studies, which typically focused on single-parameter optimization, our research addresses this gap by performing multi-objective optimization for CO2 storage and breakthrough time in deep saline aquifers using a data-driven model. Our methodology encompasses preprocessing and feature selection, identifying eight pivotal parameters. Evaluation metrics include root mean square error (RMSE), mean absolute percentage error (MAPE) and R-2. In predicting CO2 storage values, RMSE, MAPE and R-2 in test data were 2.07%, 1.52% and 0.99, respectively, while in blind data, they were 2.5%, 2.05% and 0.99. For the CO2 breakthrough time, RMSE, MAPE and R-2 in the test data were 2.1%, 1.77% and 0.93, while in the blind data they were 2.8%, 2.23% and 0.92, respectively. In addressing the substantial computational demands and time-consuming nature of coupling a numerical simulator with an optimization algorithm, we have adopted a strategy in which the trained artificial neural network is seamlessly integrated with a multi-objective genetic algorithm. Within this framework, we conducted 5000 comprehensive experiments to rigorously validate the d

关键词： carbon capture and storage deep saline aquifer artificial neural network multi-objective optimization genetic algorithm breakthrough time geological storage SALINE AQUIFERS CARBON-DIOXIDE SEQUESTRATION SIMULATION DISSOLUTION PREDICTION SYSTEMS MODELS

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A NOVEL 3-D MODEL FOR THE WATER CRESTING IN HORIZONTAL WELLS

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Journal of Hydrodynamics 2008年第6期20卷 749-755页

作者： LUO Wan-jing ZHOU Ying-fang WANG Xiao-dong School of Energy Resources China University of Geosciences Beijing 100083 China

In the presence of bottom water, a drop in the reservoir pressure due to fluid production causes the aquifer water to expand and to flow into the reservoir. Therefore, hydrocarbon production from a well is limited by the critical flow rate. The main purpose of this study is to investigate the breakthrough time and the critical rate by using a novel 3-D horizontal well model. Based on the hypothesis that the horizontal well is located in any position of a circular reservoir with no-flow boundary on the top of the reservoir and constant pressure boundary at the bottom, the horizontal well has been regarded as an infinite conductivity line sink and then a 3-D steady-state flow model of the horizontal well is set up. A point sink pressure solution can be obtained with the Fourier transform. The result of the pressure distribution of the uniform flux horizontal well can be presented by means of the principle of superposition. According to the stable water cresting theory, this study confirms the stable height of water cresting and the critical rate. Meanwhile, it can re-confirm the breakthrough time at a specific rate. The output of a comparison between this 3-D model and the reservoir numerical simulator （Eclipse） shows the method presented here can be applied to investigate the behavior of a water cresting and to predict the breakthrough time at the bottom water driver reservoir.

关键词： horizontal well bottom reservoir critical rate breakthrough time 3-D model

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Proactive control of cresting in homogeneous oil reservoirs:an experimental study

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Petroleum Science 2017年第4期14卷 755-764页

作者： H.N.Akangbou M.Burby G.Nasr Petroleum Technology and Spray Research Groups Schoolof Computing Science and EngineeringUniversity ofSalfordManchester M5 4WTUK

This paper sets out to investigate experimentally the use of electromagnetic valves in controlling production of water during cresting from homogeneous non-fractured thick-oil and thin-oil reservoirs, based on the principle of capillarity and breakthrough time. A time half the initial breakthrough times was preset for the electromagnetic valve to close. The valve closed almost immediately at the set time thereby shutting oil production temporarily,causing the water and gas height levels to recede by gravity and capillarity with receding reservoir pressure. The efficiency of this technique was compared with an uncontrolled simulation case, in terms of cumulative oil, oil recovery and water produced at the same overall production time. From the results obtained, higher percentages in oil produced and water reduction were observed in the cases controlled proactively, with a 3.6% increase in oil produced and water reduction of 10.0% for thick-oil rim reservoirs, whereas only a small increment in oil produced(0.7%) and a lower water reduction of 1.03% were observed for the thin-oil rim reservoirs. Hence, the effectiveness of the cresting control procedure depends on the oil column height of the reservoir.

关键词： Homogeneity Capillarity Cresting breakthrough time

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Influence of blast furnace top gas composition and dust on HCl removal with low temperature Ca-based dechlorination agent

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Journal of Central South University 2018年第8期25卷 1920-1927页

作者： TENG Ai-jun HU Bin-sheng GUI Yong-liang XUE Xiang-xin School of Metallurgy Northeastern University Key Laboratory of Liaoning Province for Recycling Science of Metallurgical Resources North China University of Science and Technology

Using fixed-bed reaction method and changing the gas composition and dust content,the influence of blast furnace top gas composition and dust on HCl removal with low temperature Ca-based antichlor was *** was found that,when the content of CO2 in blast furnace top gas increased,the dechlorination efficiency was getting worse obviously;when the contents of CO and N2 increased,the dechlorination efficiency was getting better to a certain extent;when the content of H2 changed,the dechlorination efficiency got no significant change;as the content of dust increased,the dechlorination efficiency got better obviously when the content was less than 15 g/m3,but it would be got worse quickly when the content was more than 20 g/m3,and the best content was 15–20 g/m3;the suitable site of the process of dechlorination was after gravity dust collector and before bag dust collector.

关键词： blast furnace top gas HCl gas dechlorination breakthrough time penetration chlorine capacity

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