A Modified Niching Crow Search Approach to Well Placement Optimization

Islam, Jahedul; Rahaman, Shokor A.; Vasant, Pandian; Negash, Berihun Mamo; Hoqe, Ahshanul; Alhitmi, Hitmi Khalifa; Watada, Junzo

doi:10.3390/en14040857

Cited by 9 publications

(5 citation statements)

References 83 publications

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“…Particle Swarm Optimization (PSO) [45], Crow Search Algorithm (CSA) [46] and Grey Wolf Optimizer (GWO) [47] were the chosen metaheuristics to be evaluated and evaluate the difficulty of the optimization problem. These metaheuristics were chosen because they perform well in engineering problems [48][49][50][51][52][53].…”

Section: Proposed Methodsmentioning

confidence: 99%

Design of a Wide-Area Power System Stabilizer to Tolerate Multiple Permanent Communication Failures

Bento

2023

Electricity

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Wide-Area Power System Stabilizers (WAPSSs) are damping controllers used in power systems that employ data from Phasor Measurement Units (PMUs). WAPSSs are capable of providing high damping rates for the low-frequency oscillation modes, especially the inter-area modes. Oscillation modes can destabilize power systems if they are not correctly identified and adequately damped. However, WAPSS communication channels may be subject to failures or cyber-attacks that affect their proper operation and may even cause system instability. This research proposes a method based on an optimization model for the design of a WAPSS robust to multiple permanent communication failures. The results of applications of the proposed method in the IEEE 68-bus system show the ability of the WAPSS design to be robust to a possible number of permanent communication failures. Above this value, the combinations of failures and processing time are high and they make it difficult to obtain high damping rates for the closed-loop control system. The application and comparison of different optimization techniques are valid and showed a superior performance of the Grey Wolf Optimizer in solving the optimization problem.

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Section: Proposed Methodsmentioning

confidence: 99%

Design of a Wide-Area Power System Stabilizer to Tolerate Multiple Permanent Communication Failures

Bento

2023

Electricity

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“…Modified CSA: In [143], Gholami et al used the advantages of the global optimal position and continuously moved it to the optimal position via an iterative process, which improved the convergence speed and local search ability of the algorithm. Islam et al [144] added local search and niching methods to enhance the search capabilities of the CSA. In [145], Wu et al introduced a novel CSA approach referred to as CCSA, in which a Lévy flight was used.…”

Section: F Research Progress Regarding Theory and Applications Of Cro...mentioning

confidence: 99%

A survey on several new popular swarm intelligence optimization algorithms

Wei

Huang

2023

Preprint

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Traditional optimization methods rely on parameter selection and a require high mathematical performance of the objective function. Thus, swarm intelligence optimization algorithms have attracted extensive attention as modern optimization methods in recent years, achieving remarkable results in the fields of machine learning, engineering optimization, process control, and elsewhere. Swarm intelligence optimization algorithms are a form of computing technology built upon the laws of biological group behavior, they are simple, fast, and place low requirements upon the objective functions. The traditional swarm intelligence algorithm offers new ideas for solving certain practical problems, however, it suffers from shortcomings in several experiments. In recent years, numerous scholars have proposed new swarm intelligence optimization algorithms, this paper selects several of the more typical swarm intelligence algorithms proposed in recent years at home and abroad, including the Whale Optimization Algorithm, Moth-Flame Optimization Algorithm, Fireworks Algorithm, Dragonfly Algorithm, Crow Search Algorithm, Butterfly Optimization Algorithm, and Pigeons Algorithm. Furthermore, the experimental performances of these algorithms are compared with respect to their convergence speed, accuracy, and stability, using 18 standard test functions, and the relative improvement methods are compared and analyzed. Finally, the characteristics of the swarm intelligence optimization algorithm are summarized, and its future development potential is discussed.

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“…According to the differences in the pattern of MFHWs, there are mainly two types of well pattern for the Denglouku gas reservoir, which are parallel and zipper patterns. The zipper pattern can be divided into two further types, which are rows and columns of the zipper well pattern [41,42]. To compare the production performance of infilling wells for diverse well patterns, according to the geological characteristics and the techniques of drilling and completing for the Denglouku gas reservoir, a typical well group is selected, and the basic parameters of numerical simulation for the above-mentioned well pattern are determined (see Table 1).…”

Section: Optimization Of Infilling Well Typesmentioning

confidence: 99%

Enhanced Gas Recovery for Tight Gas Reservoirs with Multiple-Fractured Horizontal Wells in the Late Stages of Exploitation: A Case Study in Changling Gas Field

Ning,

Li,

Zhong

et al. 2023

Energies

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To initially improve the gas production rate and shorten the payback period for tight gas reservoirs, the multiple-fractured horizontal well (MFHW) model is always applied. However, in the late stages of exploitation, it is difficult to adopt reasonable measures for enhanced gas recovery (EGR), particular for continental sedimentary formation with multiple layers, and efficient strategies for EGR in this type of gas field have not yet been presented. Therefore, in this paper, a typical tight gas reservoir in the late stages of exploitation, the Denglouku gas reservoir in Changling gas field, in which MFHWs were utilized and contributed to the communication of the higher Denglouku formation (0.34 mol% CO2) and lower Yingcheng formation (27 mol% CO2) during hydraulic fracturing, is studied comprehensively. Firstly, alongside the seismic, logging, drilling and experimental data, 3D geological and numerical simulation models are developed. According to the differences in CO2 mole fractions for different formations, the gas production rate of MFHWs produced from Denglouku formation is accurately calculated. Then, the well gas production rate (WGPR) and the well bottom-hole pressure (WBHP) history are matched with the calculated values, and thus the types of remaining gas are provided through the fine reservoir description. Finally, in a combination of gas recovery and economics, the optimal infill well type and the adjustment scheme are determined. The results show that there are three main categories of remaining gas, which are areal distribution, abundant points, and marginal dispersion, and the ratios of reaming gas reserve for these three types are 80.3%, 4.2%, and 15.5%, respectively. For the tight gas reservoir developed by MFHWs with parallel and zipper patterns, the best infilling well type is the vertical well. The combination of patching holes, sidetracking, infilling and boosting can obtain the highest gas recovery, while the scheme with patching holes and sidetracking has the best economic benefits. To balance the gas recovery and economics, the measurement of patching holes, sidetracking and infilling with vertical wells is utilized. In the final production period, compared with the basic schemes, the gas recovery can increase by 5.5%. The primary novelty of this paper lies in the determination of the optimal infilling well types and its presentation of a comprehensive adjustment workflow for EGR in tight gas reservoirs. The conclusions in this paper can provide some guidance for other similar tight gas reservoirs developed with MFHWs in the later period.

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A Modified Niching Crow Search Approach to Well Placement Optimization

Cited by 9 publications

References 83 publications

Design of a Wide-Area Power System Stabilizer to Tolerate Multiple Permanent Communication Failures

Design of a Wide-Area Power System Stabilizer to Tolerate Multiple Permanent Communication Failures

A survey on several new popular swarm intelligence optimization algorithms

Enhanced Gas Recovery for Tight Gas Reservoirs with Multiple-Fractured Horizontal Wells in the Late Stages of Exploitation: A Case Study in Changling Gas Field

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