Effect of Cross-Well Natural Fractures and Fracture Network on Production History Match and Well Location Optimization in an Ultra-Deep Gas Reservoir
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Published:2024-05-25
Issue:6
Volume:12
Page:1085
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ISSN:2227-9717
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Container-title:Processes
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language:en
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Short-container-title:Processes
Author:
Chen Dong1234, Jiao Yuwei5, Yang Fenglai1, Liu Chuxi6, Yang Min1, Leines Artieda Joseph6, Yu Wei6ORCID
Affiliation:
1. Tarim Oilfield Petrochina, Tarim, Korla 841000, China 2. R&D Center for Ultra-Deep Complex Reservoir Exploration and Development, CNPC, Tarim, Korla 841000, China 3. Engineering Research Center for Ultra-Deep Complex Reservoir Exploration and Development, Xinjiang Uygur Autonomous Region, Tarim, Korla 841000, China 4. Xinjiang Key Laboratory of Ultra-Deep Oil and Gas, Tarim, Korla 841000, China 5. Research Institute of Petroleum Exploration and Development, Beijing 100083, China 6. SimTech LLC., Houston, TX 77084, USA
Abstract
Understanding subsurface natural fracture systems is crucial to characterize well production dynamics and long-term productivity potential. In addition, the placement of future wells can benefit from in-depth fracture network connectivity investigations, vastly improving new wells’ profitability and life cycles if they are placed in dense, well-connected natural fracture zones. In this study, a novel natural fracture calibration workflow is proposed. This workflow starts with the extraction of sector geology and a natural fracture model from the pre-built full-field model. Then, a cross wellbore discrete fracture network (CW-DFN) is created using a novel CW-DFN generation tool, based on image log data. An innovative fracture network identification tool is developed to detect the interconnected regional fracture network (IcFN) with CW-DFN. The non-intrusive embedded discrete fracture model (EDFM) is utilized to numerically incorporate the complex IcFN and CW-DFN in a reservoir simulation, and it is history-matched by tuning their conductivities. This workflow is applied to a single vertical well within a natural fracture carbonate reservoir in Northwest China. The study results show that the number of CW-DFNs is 11, and the number of IcFNs is 72. The non-intersected natural fractures only account for 5.5% of the production, and thus can be removed to improve simulation efficiency. The history-matching absolute average relative deviation (AARD) is 15.16%. The calibrated effective fracture permeability is 280 millidarcy, with an aperture of 0.001 m, equating to a conductivity of 0.28 millidarcy-meter. The 30-year gas production forecast is estimated to be 1.66 billion cubic meters based on a history-matched model. Finally, if the well is drilled to the east of the sector, 30-year production declines to 1.33 billion cubic meters (a reduction of 20%). However, if the well is drilled to the west of the sector, 30-year production increases to 2 billion cubic meters (an improvement of 20.5%).
Funder
Research on New Mechanisms and Methods for Enhancing Recovery in Condensate Gas Reservoirs Research on Dynamic Monitoring Methods and Diagnostic Techniques for HTHP Gas Reservoirs
Reference25 articles.
1. Ahmed, T. (2010). Reservoir Engineering Handbook, Gulf Professional Publishing. 2. Fiallos-Torres, M., Wang, H., Yu, W., Kong, X., Chen, P., Xie, H., Li, N., Miao, J., and Chen, Z. (July, January 28). A New Discrete Fracture Network Calibration Workflow using EDFM Method. Proceedings of the 54th US Rock Mechanics/Geomechanics Symposium, Golden, CO, USA. Paper ARMA 20-1424. 3. Earnest, E., Playton, T., Vitel, S., and Hui, R. (July, January 29). Discrete Fracture Network Modeling of a Giant, Naturally Fractured Carbonate Reservoir, Korolev Field, Kazakhstan. Proceedings of the 3rd International Discrete Fracture Network Engineering Conference, Santa Fe, NM, USA. Paper ARMA 22-0041. 4. Colombi, N., Bigoni, F., Colin, R., Bombaci, F., Giamminonni, D., Spaggiari, L., and Mattonelli, V. (2023, January 2–5). Data Integration for Fracture Model Characterization in a Middel East Carbonate Reservoir. Proceedings of the ADIPEC, Abu Dhabi, United Arab Emirates. Paper SPE 216765. 5. Richard, P., Lamine, S., Pattnaik, C., Al Ajmi, N., Kidambi, V., Narhari, R., LeVarlet, X., Swaby, P., and Dashti, Q. (2017, January 13–16). Integrated Fracture Characterization and Modeling in North Kuwait Carbonate Reservoirs. Proceedings of the Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, UAE. Paper SPE 188185.
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