Optimization of Hydraulic Fracturing Parameters to Increase Gas Well Productivity

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The article examines the development features of the studied gas field and analyzes the efficiency of different hydraulic fracturing (HF) technologies. An integrated analysis of the field’s production history was carried out, covering the evaluation of applied HF methods, results of diagnostic injection tests, regression calculations, and characterization of fracture parameters. Historical production and reservoir pressure data were used to calibrate a material balance model in MBAL, ensuring consistency between observed and simulated results. HF operations using both crosslinked gel and slickwater were analyzed. Results of DFIT and mini-frac tests allowed the determination of key fracture parameters – length, height, conductivity (FCD), net pressure, and fluid efficiency. Based on the integrated dataset, a five-year forecast of field performance was developed. Wells treated with slickwater demonstrated higher and more stable flow rates compared with conventional crosslinked gel treatments, especially under lower reservoir pressures and timely well clean-up. The study emphasizes the importance of combining historical production analysis, fracture diagnostics, and regression methods with material balance modeling for reliable long-term productivity forecasting. The findings provide practical implications for optimizing HF parameters, selecting fluid systems, and planning reservoir development strategies aimed at maximizing gas recovery under depletion conditions.

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134-143

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January 2026

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© 2026 Trans Tech Publications Ltd. All Rights Reserved

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[1] Bentley, R. W., Mannan, S. A., & Wheeler, S. J. Global oil & gas depletion: An overview. Energy Policy, 35(2), (2007) 1021–1044

DOI: 10.1016/j.enpol.2006.01.004

Google Scholar

[2] Kuper, I., Mykhailyshyn, B., & Lartseva, I. Identification of hydraulic fracturing impact factors on the skin effect in the near-wellbore zone of the reservoir. Technology Audit and Production Reserves, 4(1(84), (2025) 40–49

DOI: 10.15587/2706-5448.2025.333613

Google Scholar

[3] Yang, S., Yu, W., Zhao, M., Ding, F., & Zhang, Y. A Review of Weak Gel Fracturing Fluids for Deep Shale Gas Reservoirs. Gels, 10(5), (2024) 345

DOI: 10.3390/gels10050345

Google Scholar

[4] Mykhailyshyn, B., & Kuper, I. Improving the formulation of hydraulic fracturing fluid. Prospecting and Development of Oil and Gas Fields, 24(1), (2024) 44-54

DOI: 10.69628/pdogf/1.2024.44

Google Scholar

[5] Wang, L. Optimization strategies for hydraulic fracturing in unconventional reservoirs: A review. International Journal of Earth Sciences Knowledge and Applications, 7(1), (2025) 122–127

Google Scholar

[6] Liao, L., Li, G., Liang, Y., & Zeng, Y. Diagnostic fracture injection tests analysis and numerical simulation in Montney Shale formation. Energies, 15(23), (2022) Article 9094

DOI: 10.3390/en15239094

Google Scholar

[7] Okon, A. N., & Udoh, F. D. Production optimization of gas wells using MBAL. International Journal of Petroleum and Petrochemical Engineering (IJPPE), 3(3), (2017) 90–100

DOI: 10.20431/2454-7980.0303010

Google Scholar

[8] Wang, J., Zhou, F., Bai, H., Li, Y., & Yang, H. A comprehensive method to evaluate the viscous slickwater as fracturing fluids for hydraulic fracturing applications. Journal of Petroleum Science and Engineering, 193, (2020) 107359

DOI: 10.1016/j.petrol.2020.107369

Google Scholar

[9] Yang, S., Yu, W., Zhao, M., Ding, F., & Zhang, Y. A review of weak gel fracturing fluids for deep shale gas reservoirs. Gels, 10(5), (2024) 345

DOI: 10.3390/gels10050345

Google Scholar

[10] Cao, X., et al. Comparative studies on hydraulic fracturing fluids for high-temperature and high-salt oil reservoirs: Synthetic polymer versus guar gum. ACS Omega, 6(39), (2021) 25421–25429

DOI: 10.1021/acsomega.1c03394

Google Scholar

[11] Abdelaal, A. A., Aljawad, M. S., Alyousef, Z., & Almajid, M. M. A review of foam-based fracturing fluids applications: From lab studies to field implementations. Journal of Natural Gas Science and Engineering, 95, (2021) 104236

DOI: 10.1016/j.jngse.2021.104236

Google Scholar

[12] Zhao, M.-W., et al. Preparation and performance evaluation of the slickwater fracturing fluid with high temperature resistance. Petroleum Science. (2024)

DOI: 10.1016/j.petsci.2023.11.004

Google Scholar

[13] Cai, Y., & Dahi Taleghani, A. Incorporating injection stage into DFIT analysis for permeability estimation, and its significance. Journal of Petroleum Science and Engineering, 215, (2022) 110519

DOI: 10.1016/j.petrol.2022.110519

Google Scholar

[14] Ye, F., Li, X., Zhang, N., & Xu, F. Prediction of single-well production rate after hydraulic fracturing in unconventional gas reservoirs based on ensemble learning model. Processes, 12(6), (2024) 1194

DOI: 10.3390/pr12061194

Google Scholar

[15] Cinco-Ley, H., & Samaniego, V. F. Transient pressure analysis for fractured wells. Journal of Petroleum Technology, 33(9), (1981) 1749–1766

DOI: 10.2118/7490-PA

Google Scholar

[16] Abdel Azim, R., Khosravanian, R., & Aghajanpour, A. Estimation of shale gas reserves: A modified material balance equation including adsorbed gas and stress sensitivity. Processes, 11(6), (2023) 1746

DOI: 10.3390/pr11061746

Google Scholar

[17] Yang, L., Zhang, Y., Ma, Z., & Ju, B. Modified flowing material balance equation for shale gas reservoirs. Processes, 10(6), (2022) 1198. https://doi.org/10.3390/pr10061198 PMC

Google Scholar