Energy-efficient Power Matching for Fully Hydraulic Fracturing Truck Based on MFO Algorithm

doi:10.11885/j.issn.1674-5086.2017.12.14.03

Abstract

Abstract: To overcome the disadvantages of high fuel consumption and cost of mechanical fracturing truck, a fully hydraulic fracturing truck is proposed. Considering the system power loss, "work-specific fuel consumption" is proposed to evaluate the actual fuel consumption of fracturing trucks. Global power matching is performed for the fully hydraulic truck, and mathematical models for engine universal characteristics, variable piston pump efficiency, and machine auxiliary power are constructed, respectively. Penalty functions are constructed using the self-adaptive penalty function law, and the objective function is constructed based on the optimal goal of achieving the lowest work-specific fuel consumption. Based on the MFO algorithm and choosing the required output pressure and outflow rate of the fracturing pump as the optimization input parameters, the best output combination of 11 tuning parameters in total, including the number of engines required to start, the revolution speed of each engine, and its piston pump displacement can be optimized. The results show that under all operating conditions, the work-specific fuel consumption of the fully hydraulic fracturing truck is maintained at 4.55~9.91 L/(60 MPa·m³), which also decreases gradually as the loading pressure and displacement increase. Compared with the original plan, the new proposal can save up to 35.97% of fuel, and the fuel saving rate gradually decreases as the loading pressure increases. The newly proposed fully hydraulic fracturing truck can save up to 53.74% of fuel compared with a mechanical fracturing truck under the same operating conditions.

Key words: fracturing truck, power matching, energy-efficient matching, optimized algorithm, work-specific fuel consumption

CLC Number:

TE938

YANG Bo, CAO Xuepeng. Energy-efficient Power Matching for Fully Hydraulic Fracturing Truck Based on MFO Algorithm[J]. 西南石油大学学报(自然科学版), 2019, 41(2): 167-174.

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URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.11885/j.issn.1674-5086.2017.12.14.03

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