Development of Shale Gas Prediction Models for Long-Term Production and Economics Based on Early Production Data in Barnett Reservoir
This study examined the relationship between the early production data and the long-term performance of shale gas wells, including the estimated ultimate recovery (EUR) and economics. The investigated early production data are peak gas production rate, 3-, 6-, 12-, 18-, and 24-month cumulative gas p...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/2/424 |
| _version_ | 1811278952351662080 |
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| author | Viet Nguyen-Le Hyundon Shin Edward Little |
| author_facet | Viet Nguyen-Le Hyundon Shin Edward Little |
| author_sort | Viet Nguyen-Le |
| collection | DOAJ |
| description | This study examined the relationship between the early production data and the long-term performance of shale gas wells, including the estimated ultimate recovery (EUR) and economics. The investigated early production data are peak gas production rate, 3-, 6-, 12-, 18-, and 24-month cumulative gas production (CGP). Based on production data analysis of 485 reservoir simulation datasets, CGP at 12 months (CGP_12m) was selected as a key input parameter to predict a long-term shale gas well’s performance in terms of the EUR and net present value (NPV) for a given well. The developed prediction models were then validated using the field production data from 164 wells which have more than 10 years of production history in Barnett Shale, USA. The validation results showed strong correlations between the predicted data and field data. This suggests that the proposed models can predict the shale gas production and economics reliably in Barnett shale area. Only a short history of production (one year) can be used to estimate the EUR and NPV of various production periods for a gas well. Moreover, the proposed prediction models are consistently applied for young wells with short production histories and lack of reservoir and hydraulic fracturing data. |
| first_indexed | 2024-04-13T00:44:57Z |
| format | Article |
| id | doaj.art-e06d5089e8b04f07a37754a94af92ca3 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T00:44:57Z |
| publishDate | 2020-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-e06d5089e8b04f07a37754a94af92ca32022-12-22T03:10:02ZengMDPI AGEnergies1996-10732020-01-0113242410.3390/en13020424en13020424Development of Shale Gas Prediction Models for Long-Term Production and Economics Based on Early Production Data in Barnett ReservoirViet Nguyen-Le0Hyundon Shin1Edward Little2Department of Energy Resources Engineering, Inha University, Incheon 22212, KoreaDepartment of Energy Resources Engineering, Inha University, Incheon 22212, KoreaGeological Survey of Canada, Calgary, Alberta, AB T2L 2A7, CanadaThis study examined the relationship between the early production data and the long-term performance of shale gas wells, including the estimated ultimate recovery (EUR) and economics. The investigated early production data are peak gas production rate, 3-, 6-, 12-, 18-, and 24-month cumulative gas production (CGP). Based on production data analysis of 485 reservoir simulation datasets, CGP at 12 months (CGP_12m) was selected as a key input parameter to predict a long-term shale gas well’s performance in terms of the EUR and net present value (NPV) for a given well. The developed prediction models were then validated using the field production data from 164 wells which have more than 10 years of production history in Barnett Shale, USA. The validation results showed strong correlations between the predicted data and field data. This suggests that the proposed models can predict the shale gas production and economics reliably in Barnett shale area. Only a short history of production (one year) can be used to estimate the EUR and NPV of various production periods for a gas well. Moreover, the proposed prediction models are consistently applied for young wells with short production histories and lack of reservoir and hydraulic fracturing data.https://www.mdpi.com/1996-1073/13/2/424shale gasproduction data analysisperformance predictionestimated ultimate recoveryeconomics |
| spellingShingle | Viet Nguyen-Le Hyundon Shin Edward Little Development of Shale Gas Prediction Models for Long-Term Production and Economics Based on Early Production Data in Barnett Reservoir Energies shale gas production data analysis performance prediction estimated ultimate recovery economics |
| title | Development of Shale Gas Prediction Models for Long-Term Production and Economics Based on Early Production Data in Barnett Reservoir |
| title_full | Development of Shale Gas Prediction Models for Long-Term Production and Economics Based on Early Production Data in Barnett Reservoir |
| title_fullStr | Development of Shale Gas Prediction Models for Long-Term Production and Economics Based on Early Production Data in Barnett Reservoir |
| title_full_unstemmed | Development of Shale Gas Prediction Models for Long-Term Production and Economics Based on Early Production Data in Barnett Reservoir |
| title_short | Development of Shale Gas Prediction Models for Long-Term Production and Economics Based on Early Production Data in Barnett Reservoir |
| title_sort | development of shale gas prediction models for long term production and economics based on early production data in barnett reservoir |
| topic | shale gas production data analysis performance prediction estimated ultimate recovery economics |
| url | https://www.mdpi.com/1996-1073/13/2/424 |
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