Modeling Interwell Interference Due to Complex Fracture Hits in Eagle Ford Using EDFM
- Mauricio Xavier Fiallos (The University of Texas at Austin) | Wei Yu (The University of Texas at Austin) | Reza Ganjdanesh (The University of Texas at Austin) | Erich Kerr (EP Energy) | Kamy Sepehrnoori (The University of Texas at Austin) | Jijun Miao (SimTech LLC) | Raymond Ambrose (EP Energy)
- Document ID
- International Petroleum Technology Conference
- International Petroleum Technology Conference, 26-28 March, Beijing, China
- Publication Date
- Document Type
- Conference Paper
- 2019. International Petroleum Technology Conference
- 5.5.8 History Matching, 2 Well completion, 3.3.2 Borehole Imaging and Wellbore Seismic, 2.4.1 Fracture design and containment, 3 Production and Well Operations, 4.1 Processing Systems and Design, 4 Facilities Design, Construction and Operation, 5 Reservoir Desciption & Dynamics, 2.4 Hydraulic Fracturing, 3 Production and Well Operations, 3.3 Well & Reservoir Surveillance and Monitoring, 5.5 Reservoir Simulation, 4.1.2 Separation and Treating
- Interwell Interference, Eagle Ford, Complex fractures Hits, EDFM, Unconventional reservoir modeling
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Shale field operators have vested interest in optimal spacing of infill wells and further fracture optimization, which ideally should have as little interference with the existing wells as possible. Although proper modeling has been employed to show the existence of well interference, few models have forecasted the impact of multiple inter-well fractures on child wells production to optimize further hydraulic fracture designs. This study presented a rigorous workflow for estimating the impacts of spatial variations in fracture conductivity and complexity on fracture geometries of inter-well interference. Furthermore, we applied a non-intrusive embedded discrete fracture model (EDFM) method in conjunction with a commercial black oil reservoir simulator to investigate the impact of well interference through connecting fractures by multi-well history matching, based on a robust understanding of fracture properties, real production data and wellbore image logging. First, according to updated production data from Eagle Ford, the model was constructed to perform four (parent) wells history matching including five inner (child) wells. Later, fracture diagnostic results from well image logging were employed to perform sensitivity analysis on properties of long interwell connecting fractures such as number, conductivity, geometry, and explore their impacts on history matching. Finally, optimal cluster spacing was recommended considering interwell interference. The simulation results show that well interference is present and reduces effectiveness of the fracture hits when the connecting fracture conductivity, primary fracture conductivity, and number of connecting fractures increase. Because of these interwell long fractures, the bottomhole pressure behavior of the parent wells tends to equalize. Furthermore, the EDFM application is strongly supported by complex fracture propagation interpretation from image logs through the child wells in the reservoir. Through this study, three possible scenarios are shown with robust history matching of the model considering more than 20 complex dominant long interwell fracture hits and more than 2000 hydraulic fractures.
The model became a valuable stencil to decide the well location and spacing, the completion staging, and to optimize the hydraulic fracture treatment design as well as its sequence so that it can be expanded to other areas of the field. The simulation results were applied to the field successfully to afford significant reductions in offset frac interference by up to 50% and reduce completion costs up to 23% while improving new well capital efficiency.
|File Size||3 MB||Number of Pages||25|
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