Revisiting EOR Projects in Indonesia through Integrated Study: EOR Screening, Predictive Model, and Optimisation

Hartono, Aditya Dewanto; Hakiki, Farizal; Syihab, Zuher; Ambia, F.; Yasutra, Amega; Sutopo, S.; Efendi, Mohd Salih Jefri; Sitompul, Victor; Primasari, Indah; Apriandi, Rian

doi:10.2118/186884-ms

Cited by 12 publications

(5 citation statements)

References 29 publications

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“…Oil Saturation Criteria (0-1), consisting of Low (0-0.6), Medium (0.4-1), and High (0.8-1) 3. Formation Type Criteria (0-18), consisting of Sandstone (0-5), Sorc (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18), and Carbonate (10-18) 4. Net Thickness Criteria (0-20), consisting of Thin (0-10), NC (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20), and Width (15-20) 5.…”

Section: Methodsmentioning

confidence: 99%

“…Formation Type Criteria (0-18), consisting of Sandstone (0-5), Sorc (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18), and Carbonate (10-18) 4. Net Thickness Criteria (0-20), consisting of Thin (0-10), NC (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20), and Width (15-20) 5. Viscosity Criteria (0.0001-100000), consisting of Low (0.0001-1000), Medium (1-10000), and High (5000-10000) 6.…”

Section: Methodsmentioning

confidence: 99%

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Fuzzy-Based Screening System for Determination of Enhanced Oil Recovery (EOR) Method in Reservoir

Syafitri¹,

Arta²

2022

ITJRD

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The petroleum industry is developing technology to increase oil recovery in reservoirs. One of the technologies used is Enhanced Oil Recovery (EOR). Selecting an EOR method for a specific reservoir condition is one of the most challenging tasks for a reservoir engineer. This study tries to build a fuzzy logic-based screening system to determine the EOR method. It created the system intending to be able to assist in selecting and determining the appropriate EOR method used in the field. There are nine input criteria used to screen the EOR criteria, namely: API Gravity, Oil Saturation, Formation Type, Net Thickness, Viscosity, Permeability, Temperature, Porosity, Depth criteria. The output criteria generated from the calculation of the EOR screening criteria are 14 outputs, namely: CO2 MF Miscible Flooding, CO2 IMMF Immiscible Flooding, HC MF Miscible Flooding, HC IMMF Immiscible Flooding, N2 MF Miscible Flooding, N2 IMMF Immiscible Flooding, WAG MF Miscible Flooding , HC+WAG IMMF Immiscible Flooding, Polymer, ASP, Combustion, Steam, Hot Water, Microbial. In this system, 512 rules are generated to produce 14 different outputs of the EOR method, with Mamdani's Fuzzy Inference reasoning. This fuzzy-based screening system has an accuracy rate of 80.95%, so this system is suitable to be used to assist reservoir engineers in determining the appropriate EOR method to be used according to the conditions in the reservoir. The sensitivity level of the system only reaches 53.1%, while the specificity level reaches 94%.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Fuzzy-Based Screening System for Determination of Enhanced Oil Recovery (EOR) Method in Reservoir

Syafitri¹,

Arta²

2022

ITJRD

View full text Add to dashboard Cite

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“…1 Introduction EOR screening is vital to be conducted on initial stage of valuation to explain EOR evaluation appropriateness (Hartono et al, 2017). Capillary pressure is one of the most important parameters because of its ability to show differences in pressure level on the interface between two unmixable fluids; one fluid wet another rock surface.…”

Section: Emulsion; Interfacial Tension; Middle Phase; Surfactant Floo...mentioning

confidence: 99%

Interfacial tension test analysis as injection fluid on reservoir core

Firdaus

Setiati²,

Fathaddin³

et al. 2022

irjeis

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In the petroleum industry, Enhanced Oil Recovery (EOR) technology has been developed to obtain increased oil recovery from reservoirs. One of the EOR methods is chemical EOR using a surfactant known as the surfactant flooding method. Surfactants have the ability to reduce the interfacial tension between oil and water in the rock matrix so that residual oil can be produced. There are several parameters that affect the performance of surfactants, among which will be discussed in this discussion, namely the middle phase emulsion obtained from the phase behavior test and the results from the Interfacial Tension (IFT) test. Based on the literature review, the method used in IFT uses the spinning drop method. Compatibility test of Fir wood SLS surfactant solution used with a concentration of 0.5% - 3% and a salinity of 4,000 - 110,000 ppm.

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“…Technical screening following the algorithm developed by literature study suggests that Klamono is suited to be treated with immiscible CO2, steam flood, and polymer (Hartono et al, 2017). Concerning the shallow reservoir and high viscosity, it led to the trial of heat-based EOR or well stimulation to boost the production.…”

Section: Klamono Fieldmentioning

confidence: 99%

Well and Inflow Performance Relationship for Heavy Oil Reservoir under Heating Treatment

Hakiki

Aditya

Ulitha

et al. 2017

SPE/IATMI Asia Pacific Oil &Amp; Gas Conference and Exhibition

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Well and Inflow Performance Relationship, termed TPR and IPR, respectively have been the unfailing methods to predict well performance. It is further to determine the schemes on optimising production. The main intention of the study is to explore TPR and IPR under heating treatment for heavy oil well. Klamono is a mature field which mostly has depleted wells, it produces heavy oil within 18.5 o API (>0.95 g/cc oil density), and therefore, artificial lifting method is necessary. Sucker Road Pump (SRP) and Electrical Submersible Pump (ESP) are the most deployed artificial lifting method in this reservoir. To boost the heavy oil production, the application of Electric Downhole Heater (EDH) in Well KLO-X1 is being studied. Whole Klamono's production is more than 100,000 blpd within 97-99% water cut. By installing EDH, oil viscosity is decreased hence oil mobility ratio will play a role to decrease water cut. EDH is installed together with the tubing joint to simplify its application in the wellbore. The study shows that EDH application can elevate fluid (mixed oil and brine) temperature. Oil viscosity confirms a reduction from 68 to 46 cP. The gross well production is up to 12.2 bopd due optimising its outflow performance and reducing 97.5 to 96.9% water cut. The field data gives an incremental of 4.9 bopd. The computational results only show an attainment of net oil production up to 8.3 bopd (2 bopd incremental). The EDH works to lessen both density and viscosity as we hypothesised for the mechanism of thermally induced oil production improvement. The evaluation study on its economics aspect exhibits good result that is 1.4 USD/bbl additional profit margin according to field data despite the challenging annual rig rent cost. Following the field data, the expected net income through analytical model revealed that this project is financially promising.

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Revisiting EOR Projects in Indonesia through Integrated Study: EOR Screening, Predictive Model, and Optimisation

Cited by 12 publications

References 29 publications

Fuzzy-Based Screening System for Determination of Enhanced Oil Recovery (EOR) Method in Reservoir

Fuzzy-Based Screening System for Determination of Enhanced Oil Recovery (EOR) Method in Reservoir

Interfacial tension test analysis as injection fluid on reservoir core

Well and Inflow Performance Relationship for Heavy Oil Reservoir under Heating Treatment

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