Statistical analyses of reservoir and fracturing parameters for a multifractured shale oil reservoir in Mississippi
Abstract The use of multifractured horizontal wells has improved the efficiency of hydrocarbon extraction from shale gas and oil plays. It is highly desirable to estimate the characteristics of the reservoir and well fracturing through production data analysis. Production rate transient data from 16...
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| Format: | Article |
| Language: | English |
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Wiley
2020-03-01
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| Series: | Energy Science & Engineering |
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| Online Access: | https://doi.org/10.1002/ese3.537 |
| _version_ | 1828485151685869568 |
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| author | Xu Yang Boyun Guo |
| author_facet | Xu Yang Boyun Guo |
| author_sort | Xu Yang |
| collection | DOAJ |
| description | Abstract The use of multifractured horizontal wells has improved the efficiency of hydrocarbon extraction from shale gas and oil plays. It is highly desirable to estimate the characteristics of the reservoir and well fracturing through production data analysis. Production rate transient data from 16 wells in the Mississippi sections were analyzed to estimate local reservoir permeability and hydraulic fracture parameters. Key factors affecting well productivity have been identified for optimizing future well completion. Based on the theory of distance of investigation during transient linear flow, the reservoir matrix permeability of TMS was estimated to be between 53 nd and 210 nd, averaging at 116 nd. The matrix permeability follows the lognormal distribution and is considered homogeneous according to the coefficient of variation. The fracture half‐length was estimated using the matrix permeability data from the rate transient analysis. The fracture half‐length was found to have a mean value of 234 ft with a standard deviation of 66 ft in a normal distribution. The fracture conductivity was back‐calculated by matching pseudosteady production rate data to Guo et al's (SPE Reserve Eval Eng.12, 2009, 879) productivity model for boundary‐dominated flow. The fracture conductivity was estimated to range from 0.4 md‐ft to 3.2 md‐ft, averaging at 1.4 md‐ft. Based on Guo et al's (SPE Reserve Eval Eng.12, 2009, 879) well productivity model applied to TMS condition, well productivity can be improved significantly by increasing fracture length and conductivity. Future TMS wells should be completed with conductivity values of greater than 10 md‐ft. |
| first_indexed | 2024-12-11T09:07:58Z |
| format | Article |
| id | doaj.art-9adb0e029c614e6694df76364d08fad3 |
| institution | Directory Open Access Journal |
| issn | 2050-0505 |
| language | English |
| last_indexed | 2024-12-11T09:07:58Z |
| publishDate | 2020-03-01 |
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| series | Energy Science & Engineering |
| spelling | doaj.art-9adb0e029c614e6694df76364d08fad32022-12-22T01:13:34ZengWileyEnergy Science & Engineering2050-05052020-03-018361662610.1002/ese3.537Statistical analyses of reservoir and fracturing parameters for a multifractured shale oil reservoir in MississippiXu Yang0Boyun Guo1Department of Petroleum Engineering University of Louisiana at Lafayette Lafayette LA USADepartment of Petroleum Engineering University of Louisiana at Lafayette Lafayette LA USAAbstract The use of multifractured horizontal wells has improved the efficiency of hydrocarbon extraction from shale gas and oil plays. It is highly desirable to estimate the characteristics of the reservoir and well fracturing through production data analysis. Production rate transient data from 16 wells in the Mississippi sections were analyzed to estimate local reservoir permeability and hydraulic fracture parameters. Key factors affecting well productivity have been identified for optimizing future well completion. Based on the theory of distance of investigation during transient linear flow, the reservoir matrix permeability of TMS was estimated to be between 53 nd and 210 nd, averaging at 116 nd. The matrix permeability follows the lognormal distribution and is considered homogeneous according to the coefficient of variation. The fracture half‐length was estimated using the matrix permeability data from the rate transient analysis. The fracture half‐length was found to have a mean value of 234 ft with a standard deviation of 66 ft in a normal distribution. The fracture conductivity was back‐calculated by matching pseudosteady production rate data to Guo et al's (SPE Reserve Eval Eng.12, 2009, 879) productivity model for boundary‐dominated flow. The fracture conductivity was estimated to range from 0.4 md‐ft to 3.2 md‐ft, averaging at 1.4 md‐ft. Based on Guo et al's (SPE Reserve Eval Eng.12, 2009, 879) well productivity model applied to TMS condition, well productivity can be improved significantly by increasing fracture length and conductivity. Future TMS wells should be completed with conductivity values of greater than 10 md‐ft.https://doi.org/10.1002/ese3.537fracture conductivityoilpermeabilityproductionshaleStatistical analysis |
| spellingShingle | Xu Yang Boyun Guo Statistical analyses of reservoir and fracturing parameters for a multifractured shale oil reservoir in Mississippi Energy Science & Engineering fracture conductivity oil permeability production shale Statistical analysis |
| title | Statistical analyses of reservoir and fracturing parameters for a multifractured shale oil reservoir in Mississippi |
| title_full | Statistical analyses of reservoir and fracturing parameters for a multifractured shale oil reservoir in Mississippi |
| title_fullStr | Statistical analyses of reservoir and fracturing parameters for a multifractured shale oil reservoir in Mississippi |
| title_full_unstemmed | Statistical analyses of reservoir and fracturing parameters for a multifractured shale oil reservoir in Mississippi |
| title_short | Statistical analyses of reservoir and fracturing parameters for a multifractured shale oil reservoir in Mississippi |
| title_sort | statistical analyses of reservoir and fracturing parameters for a multifractured shale oil reservoir in mississippi |
| topic | fracture conductivity oil permeability production shale Statistical analysis |
| url | https://doi.org/10.1002/ese3.537 |
| work_keys_str_mv | AT xuyang statisticalanalysesofreservoirandfracturingparametersforamultifracturedshaleoilreservoirinmississippi AT boyunguo statisticalanalysesofreservoirandfracturingparametersforamultifracturedshaleoilreservoirinmississippi |