T.I. Sinitsyna, A.A. Galeev
DOI: https://doi.org/10.25689/NP.2022.4.239-251
Abstract
Introduction. Creating methods for automated search of well candidates for well interventions is becoming popular among reservoir engineers. Such methods allow to define clear rules (criteria) for assessing the well intervention potential at certain development targets and reduce the labor costs of subject matter experts.
The purpose of the study is to create a software product for automated selection of well candidates for hydraulic fracturing in the conditions of reservoirs developed by Kharampurneftegaz.
Materials and Methods. The study is fundamentally divided into two parts: running a statistical analysis of historical data (the entire history of well interventions at the studied target) and assessing the potential of hydraulic fracturing for the future development period of the target. The first part is based on mathematical statistics methods. Further, based on the mathematical analysis data, a software product based on Microsoft Excel using Visual Basic for Applications (VBA) was created which allows to assess the potential of hydraulic fracturing in the wells of the development target.
Results. The statistical analysis of field historical data allowed to determine the criteria for assessing the potential of wells for hydraulic fracturing. Threaded software product made it possible to reduce the labor costs of subject matter experts for selecting well candidates.
Conclusion. The use of automated selection of well candidates for hydraulic fracturing has been confirmed in the field in the conditions of reservoirs developed by Kharampurneftegaz. The purpose of further research is to create a similar methodology for other types of well interventions applied in the fields in question.
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For citation:
T.I. Sinitsyna, A.A. Galeev. Metodika avtomatizirovannogo vybora kandidatov dlya gidravlicheskogo razryva plasta na mestorozhdeniyakh OOO «Kharampurneftegaz». [Methodology of automated selection of well candidates for hydraulic fracturing at Kharampurneftegaz fields]. Neftyanaya Provintsiya, No. 4(32), 2022. pp. 239-251. DOI https://doi.org/10.25689/NP.2022.4.239-251. EDN FOMKZU (in Russian)