Improved Reservoir Models and Production Forecasting Techniques for Multi-Stage Fractured Hydrocarbon Wells
The massive increase in energy demand and the related rapid development of unconventional reservoirs has opened up exciting new energy supply opportunities along with new, seemingly intractable engineering and research challenges. The energy industry has primarily depended on a heuristic approach—ra...
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| Year of Publication: | 2019 |
| Language: | English |
| Physical Description: | 1 electronic resource (238 p.) |
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| 100 | 1 | |a Khanal , Aadi |4 auth | |
| 245 | 1 | 0 | |a Improved Reservoir Models and Production Forecasting Techniques for Multi-Stage Fractured Hydrocarbon Wells |
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| 300 | |a 1 electronic resource (238 p.) | ||
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| 520 | |a The massive increase in energy demand and the related rapid development of unconventional reservoirs has opened up exciting new energy supply opportunities along with new, seemingly intractable engineering and research challenges. The energy industry has primarily depended on a heuristic approach—rather than a systematic approach—to optimize and tackle the various challenges when developing new and improving the performance of existing unconventional reservoirs. Industry needs accurate estimations of well production performance and of the cumulative estimated ultimate reserves, accounting for uncertainty. This Special Issue presents 10 original and high-quality research articles related to the modeling of unconventional reservoirs, which showcase advanced methods for fractured reservoir simulation, and improved production forecasting techniques. | ||
| 546 | |a English | ||
| 653 | |a mimetic finite difference method | ||
| 653 | |a infill wells | ||
| 653 | |a shale gas | ||
| 653 | |a fracture modeling | ||
| 653 | |a sensitivity analysis | ||
| 653 | |a EDFM | ||
| 653 | |a production uplifts | ||
| 653 | |a molecular diffusion | ||
| 653 | |a fracture properties | ||
| 653 | |a pressure communication | ||
| 653 | |a Austin Chalk | ||
| 653 | |a enhanced permeability | ||
| 653 | |a enhanced oil recovery | ||
| 653 | |a bottomhole pressure | ||
| 653 | |a wolfcamp formation | ||
| 653 | |a flow models | ||
| 653 | |a semi-analytical model | ||
| 653 | |a pore network | ||
| 653 | |a particle paths | ||
| 653 | |a bubble point pressure | ||
| 653 | |a staged fracturing horizontal well | ||
| 653 | |a EUR | ||
| 653 | |a discrete fracture model | ||
| 653 | |a (re)fracturing | ||
| 653 | |a well interference | ||
| 653 | |a perforating number | ||
| 653 | |a naturally fractured reservoirs | ||
| 653 | |a line detection | ||
| 653 | |a well spacing | ||
| 653 | |a production history matching | ||
| 653 | |a hydraulic fracturing | ||
| 653 | |a microseismic | ||
| 653 | |a cluster efficiency | ||
| 653 | |a Cyclic CH4 injection | ||
| 653 | |a stimulated reservoir volume | ||
| 653 | |a drained rock volume | ||
| 653 | |a natural fractures | ||
| 653 | |a pressure depletion | ||
| 653 | |a midland basin | ||
| 653 | |a hydraulic fractures | ||
| 653 | |a low-permeability reservoir | ||
| 653 | |a flow modeling | ||
| 653 | |a hydraulic fracturing test site | ||
| 653 | |a time of flight | ||
| 653 | |a embedded discrete fracture model | ||
| 653 | |a Eagle Ford shale | ||
| 653 | |a hydraulic fracture closure | ||
| 653 | |a Changning shale gas | ||
| 653 | |a nanopore confinement | ||
| 653 | |a fractured reservoir | ||
| 653 | |a fracture porosity | ||
| 653 | |a multiple fracture propagation | ||
| 776 | |z 3-03921-892-1 | ||
| 700 | 1 | |a Weijermars, Ruud |4 auth | |
| 700 | 1 | |a Yu , Wei |4 auth | |
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