Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM22225
Volume:
7 |
5 |
May 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Solution gas drive reservoirs are characterized by rapid and continuous decline of reservoir pressure. This rapid and continuous decline of reservoir pressure causes a direct decline of reservoir performance at the early stages of the life of the reservoir. The principal energy source, gas liberation from crude oil and the subsequent expansion of the solution gas as the reservoir pressure is reduced is inadequate to produce such reservoirs to their full capacities. Ultimate oil recovery from the natural flow of a solution-gas drive reservoir makes it one of the least efficient primary recovery mechanisms. This leaves a substantial amount of remaining oil residing in the reservoir which must be produced. The practical application of various production parameters and relations to predict the good performance analysis of a solution gas drive reservoir is the primary objective of this study. These parameters include: IPR (inflow performance relation), OPR (outflow performance relation) and PI (productivity index). Predicting the amount of Reserves present in solution gas reservoirs by adapting different techniques. Material Balance for Predicting Primary Recovery of Hydrocarbons from the well. Case study to predict the Inflow Performance relationship of well how pressure is maintained in well. Theoretical data was used to predict the performance behavior of a solution gas drive reservoir from start of production till its abandonment. IPRs and OPRs were developed during the forecasting, over the life of the reservoir. In this work, historical shut-in pressure data acquired was used as the average reservoir pressure to compute the pressure drop due to a particular production rate at any time. The productivity index was then computed. Field data were used to test the model and good results were obtained.
KEYWORDS
Publication Date
2/5/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
1
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...