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Production Performance Evaluation from Stimulation and Completion Parameters in the Permian Basin: Data Mining Approach

Authors
Mustafa A. Al-Alwani (Missouri University of Science and Technology) | Shari Dunn-Norman (Missouri University of Science and Technology) | Larry K. Britt (NSI Fracturing) | Husam H. Alkinani (Missouri University of Science and Technology) | Abo Taleb T. Al-Hameedi (Missouri University of Science and Technology) | Atheer M. Al-Attar (Enterprise Products) | Hector A. Trevino (Missouri University of Science and Technology) | Waleed H. Al-Bazzaz (Kuwait Institute for Scientific Research)
DOI
https://doi.org/10.15530/AP-URTEC-2019-198192
Document ID
URTEC-198192-MS
Publisher
Unconventional Resources Technology Conference
Source
SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, 18-19 November, Brisbane, Australia
Publication Date
2019
Document Type
Conference Paper
Language
English
ISBN
978-1-61399-673-7
Copyright
2019, Unconventional Resources Technology Conference (URTeC)
Disciplines
Keywords
Production Performance, Hydraulic Fracturing, FracFocus, Unconventional Resources, Prediction Modeling
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Over the last decade, there have been numerous advancements in horizontal drilling applications and in combination with hydraulic fracturing there has been a plethora of growth in producing unconventional resources. Literature in unconventional well performance shows a close correlation between the oil and gas prices and the operators’ willingness to pump more or less proppant in their wells. Despite this general trend, operators are constantly assessing the optimization of completions design to find the optimum stimulation and completion applications. This paper utilizes 3782 unconventional horizontal wells to analyze the impact of proppant volume and the length of the perforated lateral on short and long-term well productivity across the Permian (Midland) Basin.

The raw stimulation data were collected from FracFocus website. Rigorous data management techniques were utilized to build a comprehensive dataset with all the volumes of proppant, water, perforated lateral length, and all other stimulation chemicals. Quality control and data validations were applied to the dataset and all outliers were removed. In this study, the amount of the proppant pumped is compared to the cumulative production of equivalent barrel of oil (BOE) for the first year, 2 years, and five years. The effect of normalized proppant per perforated foot on the cumulative production is also investigated.

Tying cumulative production to completion and stimulation practices, showed that increasing the pumped proppant per well from 5 million pounds to less than 10 million pounds, yielded a 34% increase in the five years cumulative average BOE. Stepping up the pumped proppant per well to 10-15 million pounds and 15-20 million pounds increased the 5 years BOE cumulative from the previous proppant range group to 27% and 18.5%, respectively. The cumulative production per foot versus the amount of pumped proppant, lateral length versus production, cumulative production per foot versus lateral length ranges, and finally the proppant per foot versus cumulative production per foot are all discussed in this study.

This study represents a descriptive analysis approach to investigate the impact of different stimulation and completion designs on short and long-term cumulative production.

File Size  1018 KBNumber of Pages   14

Al-Alwani, M. A., Britt, L.K., Dunn-Norman, S., Alkinani, H. H., Al-Hameedi, A. T., Al-Attar, A. M. "Review of Stimulation and Completion Activities in the United States Shale Plays". Paper ARMA 19-2003, presented at the 53rd US Rock Mechanics / Geomechanics Symposium held in New York City, New York, USA, 23-26 June 2019a.

Al-Alwani, M. A., Britt, L.K., Dunn-Norman, S., Alkinani, H. H., Al-Hameedi, A. T., Al-Attar, A. M. "Production Performance Estimation from Stimulation and Completion Parameters Using Machine Learning Approach in the Marcellus Shale". Paper ARMA 19-2034, presented at the 53rd US Rock Mechanics / Geomechanics Symposium held in New York City, New York, USA, 23-26 June 2019b.

Al-Alwani, M. A., Britt, L.K., Dunn-Norman, S., Alkinani, H. H., Al-Hameedi, A. T., Al-Attar, A. M. "Long-Term Comparison of Gel and Water Fracture Stimulation in Marcellus Shale Play". Paper URTEC-195990-MS, accepted to be presented at SPE Annual Technical Conference and Exhibition (ATCE) in Calgary, Alberta, Canada, 30 September-2 October 2019c.

Al-Alwani, M. A., Britt, L.K., Dunn-Norman, S., Alkinani, H. H., Al-Hameedi, A. T., Al-Attar A. M., Alkhamis M. M., Al-Bazzaz, W. H. "From Data Collection to Data Analytics: How to Successfully Extract Useful Information from Big Data in the Oil & Gas Industry?" Paper URTEC-196428-MS, accepted to be presented at SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition in Calgary, Bali, Indonesia, 29 - 31 Oct 2019d.

Al-Alwani, M. A., Britt, L.K., Dunn-Norman, S., Alkinani, H. H., Al-Hameedi, A. T., Cedeno M. A., Al-Attar A. M., Al-Bazzaz, W. H. "Short and Long-Term Productivity Comparison of Hydraulic Fracturing Fluid Systems in East Texas Cotton Valley Formation" Paper URTEC-196515-MS, Accepted to be presented at SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition in Calgary, Bali, Indonesia, 29 - 31 Oct 2019e.

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DrillingInfo website. Retrieved on March/01/2019, from https://info.drillinginfo.com/

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Olaoye, O., & Zakhour, N. (2018, September 24). Utilizing a Data Analytics Workflow to Optimize Completion Practices While Leveraging Public Data: A Permian Basin Case Study. Society of Petroleum Engineers. doi:10.2118/191416-MS

Romero, D. H., & Poston, S. W. (2016, May 10). Data Mining and Analysis - Eagle Ford Formation, South Texas. Society of Petroleum Engineers. doi:10.2118/179994-MS.

Srinivasan, K., Ajisafe, F., Alimahomed, F., Panjaitan, M., Makarychev-Mikhailov, S., & Mackay, B. (2018, August 28). Is There Anything Called Too Much Proppant? Society of Petroleum Engineers. doi:10.2118/191800-MS.

United States Environmental Protection Agency website (EPA). " Safer Chemical Ingredients List" Retrieved on August/01/2019, from https://www.epa.gov/saferchoice/safer-ingredients#scil.

Weijers, L., Wright, C., Mayerhofer, M., Pearson, M., Griffin, L., & Weddle, P. (2019, January 29). Trends in the North American Frac Industry: Invention through the Shale Revolution. Society of Petroleum Engineers. doi:10.2118/194345-MS

Yang, Y., Robart, C. J., & Ruegamer, M. (2013, February 4). Analysis of U.S. Hydraulic Fracturing Design Trends. Society of Petroleum Engineers. doi:10.2118/163875-MS.

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