CONCEPTUAL MODEL OF OPTIMIZATION STUDY OF SMALL OIL FIELD DEVELOPMENT WITH HIGH WATER CUT BY PRODUCTION ENGINEERING, RESERVOIR ENGINEERING, AND RESERVOIR SIMULATION ANALYSIS
X Field is an oil and gas field that has OOIP about 16 MMSTB. Beside its potential, this field has high water cut (about 85%-92%). Because of that, optimization study is necessary must be done to predict oil recovery potential. <br /> <br /> <br /> <br /> The methodo...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/21819 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | X Field is an oil and gas field that has OOIP about 16 MMSTB. Beside its potential, this field has high water cut (about 85%-92%). Because of that, optimization study is necessary must be done to predict oil recovery potential. <br />
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The methodologies of study consist of production engineering, reservoir engineering, simulation engineering, and economic analysis. According to production engineering analysis, the optimum liquid rate is 444.4 stb/day where the Production Index of reservoir is 0.52 stb/day-psi and Injection index of reservoir is 0.49 stb/day- psi. According to reservoir engineering analysis, Field X needs 6 production wells and 6 injection wells in order to produce oil in optimal rate with average oil rate is about 280.7 stb/day with injection rate is about 2589 stb/day. The optimum water rate in each well is 400 stb/day where the recovery factor is about 2.33%. Scenario with Natural Depletion shown optimal result with recovery factor about 5.7% if it developed with 6 production wells with distribution pattern 1 where perforation are in 1-5-6 layers. Scenario with Waterflooding shown that optimal result with recovery factor is about 15.19% if it developed with 6 production wells and 6 injection wells with two spot patterns where production wells are perforated in layer 1 and injection are started at 1 July 2014. <br />
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According to economic analysis, scenario with Natural Depletion (US$ 594,558.14) is more economic compared to scenario with Waterflooding (-US$ 2,067,131.39). |
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