Taufan Marhaendrajana
Department of Petroleum Engineering, Institut Teknologi Bandung, Indonesia

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Capacitance Resistance Clustered Model for Mature Peripheral Waterflood Performance Prediction & Optimization Billal Aslam; Hasto Nugroho; Fahriza Mahendra; Rani Kurnia; Taufan Marhaendrajana; Septoratno Siregar
Journal of Earth Energy Engineering Vol. 11 No. 3 (2022)
Publisher : Universitas Islam Riau (UIR) Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jeee.2022.10633

Abstract

Optimizing water injection rate distribution in waterflooding operations is a vital reservoir management aspect since water injection capacities may be constrained due to geographic location and facility limitations. Traditionally, numerical grid-based reservoir simulation is used for waterflood performance evaluation and prediction. However, the reservoir simulation approach can be time-consuming and expensive with the vast amount of wells data in mature fields. Capacitance Resistance Model (CRM) has been widely used recently as a data-driven physics-based model for rapid evaluation in waterflood projects. Even though CRM has a smaller computation load than numerical reservoir simulation, large mature fields containing hundreds of wells still pose a challenge for model calibration and optimization. In this study, we propose an alternative solution to improve CRM application in large-scale waterfloods that is particularly suitable for peripheral injection configuration. Our approach attempts to reduce CRM problem size by employing a clustering algorithm to automatically group producer wells with an irregular peripheral pattern. The selection of well groups considers well position and high throughput well (key well). We validate our solution through an application in a mature peripheral waterflood field case in South Sumatra. Based on the case study, we obtained up to 18.2 times increase in computation speed due to parameter reduction, with excellent history match accuracy.
FLUID-TO-FLUID AND FLUID-TO-ROCK INTERACTION ON SOPHOROLIPIDS BIOSURFACTANT FOR ENHANCED OIL RECOVERY: A LITERATURE REVIEW Taufan Marhaendrajana; Indah Widiyaningsih; Ivan Kurnia; Harry Budiharjo Sulistyarso
Scientific Contributions Oil and Gas Vol 48 No 1 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i1.1688

Abstract

The promising glycolipids produced by non-pathogenic yeast as biosurfactants are called sophorolipids. Their advantages over chemical surfactants are smaller environmental impact, lower toxicity, and biodegradable. They can reduce interfacial tension (IFT), form microemulsions, and alter wettability in enhanced oil recovery applications. The potential as biosurfactants is due to the resistance to high salinity and high temperature in reservoir conditions.Laboratory experiments for enhanced oil recovery (EOR) applications require to test fluid-to-fluid and fluid-to-rock interactions in the complex crude oil–rock–brine (CORB) system. This review discusses the sophorolipids mechanisms of fluid-to-fluid and fluid-to-rock interactions.Sophorolipids’ potential in EOR processes can be determined from core flooding experiments, in which some researches reported the incremental oil recovery up to obtained up to 20%. The review and discussion in this article are intended to have a broad impact on science and the petroleum industry, particularly in EOR applications.