Garuda - Garba Rujukan Digital

p-Index From 2020 - 2025

1.908

P-Index

This Author published in this journals

All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Journal of Engineering and Technological Sciences PENELITIAN DAN KARYA ILMIAH JOURNAL OF EARTH ENERGY ENGINEERING Prosiding Seminar Nasional Pakar Journal of Petroleum and Geothermal Technology JURNAL PENELITIAN DAN KARYA ILMIAH LEMBAGA PENELITIAN UNIVERSITAS TRISAKTI Jurnal Penelitian dan Karya Ilmiah Lembaga Penelitian Universitas Trisakti Petro : Jurnal Ilmiah Teknik Perminyakan Journal of Earth Energy Science, Engineering, and Technology Scientific Contribution Oil and Gas

Taufan Marhaendrajana, Taufan

Institut Teknologi Bandung

Author-ID : 3199159

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 19 Documents Claim Missing Document

Claim Missing Document

Articles

1 2

PENGARUH WETTABILITY SURFAKTAN NaLS AMPAS TEBU PADA BATUAN SANDSTONE DALAM PROSES ENHANCED OIL RECOVERY (EOR) Rini Setiati; Septoratno Siregar; Taufan Marhaendrajana; Deana Wahyuningrum
Prosiding Seminar Nasional Pakar Prosiding Seminar Nasional Pakar 2018 Buku I
Publisher : Lembaga Penelitian Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/pakar.v0i0.2596

Surfaktan merupakan salah satu fluida injeksi dalam proses EOR untukmenaikkan produksi minyak yang masih tertinggal di reservoir. Salah satujenis surfaktan yang digunakan adalah surfaktan lignosulfonat berbahandasar lignin yang dapat diperoleh dengan proses hidrolisis dan sulfonasi dariampas tebu menjadi produk Surfaktan Natrium Lignosulfonat (NaLS) AmpasTebu. Surfaktan NaLS telah dilakukan uji injeksi pada core sintetis batuansandstone. Hasil penelitian laboratorium menghasilkan perolehan minyaktertinggi terjadi pada injeksi surfaktan pada salinitas 80.000 ppm dengankonsentrasi surfaktan 1,5%. Perolehan terendah terjadi pada injeksi surfaktandengan konsentrasi 4,5% pada salinitas 20.000 ppm. Hasil uji wettability yangtelah dilakukan menunjukkan bahwa penambahan konsentrasi surfaktanmenghasilkan sistem water wet, berarti pemberian surfaktan NaLS ampastebu mampu membuat sifat permukaan menjadi water wet, sehinggasurfaktan NaLS tersebut memenuhi syarat untuk digunakan sebagai fluidainjeksi. Berdasarkan analisa sudut kontak, sudut kontak yang lebih kecilsurfaktan NaLS ampas tebu 4.5% - 20.000 ppm yaitu 28.14o, perolehan minyakhanya mencapai 1.05%. Sedangkan surfaktan NaLS ampas tebu 1,5% -salinitas 80.000 ppm dengan sudut kontak 50,55o , perolehan minyak jauhlebih besar yaitu mencapai 10,71%. Dengan demikian dapat disimpulkanbahwa konsentrasi surfaktan lebih sedikit menghasilkan sudut kontak yanglebih besar dan memberikan kinerja surfaktan yang lebih baik.

Hasil Studi Laboratorium Penentuan Karakteristik Alamiah Surfaktan Natrium Lignosulfonat Dari Ampas Tebu Sebagai Fluida Injeksi Di Reservoir Minyak Rini Setiati; Septoratno Siregar; Taufan Marhaendrajana; Deana Wahyuningrum
JURNAL PENELITIAN DAN KARYA ILMIAH LEMBAGA PENELITIAN UNIVERSITAS TRISAKTI Vol. 3 No. 1 (2018)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Trisakti

Surfaktan Natrium Lignosulfonat (NaLS) dari ampas tebu merupakan salah satu pengembangan surfaktan lignosulfonat yang dibuat dari limbah nabati, yaitu adalah ampas tebu. Pada studi ini telah diperoleh hasil sintesa ampas tebu menjadi surfaktan lignosulfonat yang jika dikembangkan akan dapat menjadi alternatif surfaktan sebagai fluida injesi di reservoir minyak. Dari hasil penelitian dan pengujian yang telah dilakukan, surfaktan NaLS ampas tebu ini mempunyai kesamaan komponen dengan surfaktan lignosulfonat standar yaitu terdiri dari gugus ulur alkena, gugus ulur sulfonat, gugus tekuk karboksilat dan gugus tekuk ester. Berdasarkan analisis spektrum NMR, molekul monomer lignosulfonat tersebut mempunyai atom C, O, H dan S di dalam dengan jumlah atom C = 11, O = 8, H = 16, dan S = 1, sehingga rumus empiris monomer lignosulfonat adalah (C11H16O8S)n, dengan massa molekul relatif 308,06. Berdasarkan struktur monomer lignosulfonat ampas tebu, maka gugus-gugus fungsi dalam strukturnya dapat dikelompokkan sebagai gugus hidrofil atau gugus hidrofob dan dapat dihitung nilai HLB (Hidrofil-lipofilik Balance) yang dimiliki oleh surfaktan NaLS ampas tebu tersebut yaitu sebesar 11,62. Dengan nilai HLB ini maka surfaktan NaLS ampas tebu ini sesuai penggunaannya sebagai sistem tipe emulsi O/W (oil in water), yang berarti surfaktan tersebut larut dalam air dan dapat digunakan sebagai fluida injeksi.

CAPACITANCE RESISTANCE MODEL (CRM) APPLICATION TO RAPID EVALUATE AND OPTIMIZE PRODUCTION IN PERIPHERAL WATERFLOOD FIELD, PANDHAWA FIELD CASE STUDY Muhammad Hasto Nugroho; Billal Aslam; Taufan Marhaendrajana
PETRO:Jurnal Ilmiah Teknik Perminyakan Vol. 10 No. 3 (2021): SEPTEMBER
Publisher : Jurusan Teknik Perminyakan Fakultas Teknologi Kebumian dan Energi Universitas Trisakti

Waterflooding is one of the most effective methods to improve oil recovery in mature fields because of its high success ratio, easy in application and cost efficiency. Development until now has shown that Capacitance Resistance Model (CRM) can be used as alternative from reservoir model and simulation studies. CRM can be used as model to predict reservoir characterization and reservoir performance quickly and accurately with only require historical production and injection data. CRM characterizes the reservoir by calculating the connectivity value and the response delay between the injections well and the production well as unknown parameters. Pandhawa Field is a heterogeneous carbonate reservoir with an average permeability of 65 mD with peripheral waterflood since 20 years ago. By knowing the injection efficiency, the optimization process can be carried out by increasing the water injection rate in injection wells that have high efficiency and vice versa. In this study, the performance of waterflood is analyzed using the Capacitance-Resistance Injection-Production Model (CRM-IP) to determine the connectivity of each injection and production well. This study also discuss CRM-IP implementation on MATLAB programming language and optimization of injection rate allocation for the most optimum cumulative oil production. Result of this study indicate total additional oil 505 MBO will be obtained during 120 months period by conduct redistribution water injection management for each injector. By using CRMIP methodology, waterflood management in this field can be done much faster, therefore decision taken for this field will be more effective.

Application of Pressure Type Curve Matching for Characterizing the Naturally Fractured Reservoir Sri Feni Maulindani; Doddy Abdassah; Taufan Marhaendrajana; Suryo Prakoso; Muhammad Taufiq Fathaddin
Journal of Earth Energy Science, Engineering, and Technology Vol. 4 No. 1 (2021): JEESET VOL. 4 NO. 1 2021
Publisher : Penerbitan Universitas Trisakti

Naturally fractured reservoirs have an important role in the production and reserves of hydrocarbons, where more than 40% of the oil and gas reservoir production comes from this reservoir type. There are two systems that affect the production mechanism in this reservoir, namely the matrix as a fluid source and fractures as a fluid transfer network to the wellbore. This study discusses the characterization of naturally fractured reservoirs using curve type matching. In this study, the Warren and Root model is applied to create a reservoir model that applies the fluid flow mechanism from the matrix to the fracture with pseudo steady state interporosity flow. Pressure transient analysis is commonly known and widely used by reservoir engineers as a tool to identify reservoir characteristics, where there are two important parameters that influence reservoir productivity, namely the ratio of the storativity coefficient (omega) and the interporosity flow coefficient (lamda). Based on the results of the analysis, it is found that the coefficients are strongly affected by the values of porosity fracture and permeability fracture also the productivity of the reservoir.

Evaluation of the Performance of Injection Wells in EX Structure Zona Nuansa Antariksa; Sonny Irawan; Dyah Rini Ratnaningsih; Taufan Marhaendrajana; Rini Setiati; Muhammad Taufiq Fathaddin
Journal of Earth Energy Science, Engineering, and Technology Vol. 5 No. 3 (2022): JEESET VOL. 5 NO. 3 2022
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jeeset.v5i3.14643

One of the efforts that can be done to evaluate the performance of water injection in a field is by monitoring the injector wells. Observations can be made by looking at the flow rate and injection pressure at each injector well. The response given by each injection well will be able to represent the injection performance on a field scale. The EX structure is a structure that has been produced for more than 40 years. In addition, water injection has also been applied for approximately 16 years. There are four injection wells operating in this EX structure with an average injection flow rate of 3000-8000 bwipd per well. Evaluation of injection well performance is carried out by conducting a Hall Plot on each injection well from the start of the injection process to the last data obtained. Based on the evaluation results, it was found that there was plugging in the EA-IIS and EJ-IVS injection wells. Stimulation activity is needed in both wells to restore the well injection capability. Meanwhile, for the EA-IS and EB-IIL injection wells, there are no significant problems in those wells so they can still function properly as injection wells.

Pressure Transient Analysis using Generated Simulation Reservoir Data for Dual Porosity Model of Naturally Fractured Reservoir Sri Feni Maulindani; Taufan Marhaendrajana; Doddy Abdassah
Journal of Earth Energy Engineering Vol. 12 No. 1 (2023)
Publisher : Universitas Islam Riau (UIR) Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jeee.2023.10978

A naturally fractured reservoir today plays a significant role in improved worldwide oil and gas production. More than half of the resource is mostly found in this reservoir. In this reservoir, there are two porous media: the matrix, which acts as the fluid source in this reservoir, and the fractures, which act as the fluid network that flows to the wellbore. Many authors have researched works to model this reservoir. There are two models are done in this study, such as Warren and Root model, where the fluid flow mechanism matrix to fractures is known as pseudosteady-state flow and the Kazemi-Gilman model is known as transient interporosity flow. Reservoir engineers generally utilize pressure transient analysis to determine this reservoir's characteristics. The purpose of this study is to assess whether it is feasible to verify the parameters of the reservoir for pressure transient analysis using a synthesis simulation model. It also aims to observe how reservoir parameters behave in relation to the characteristics of naturally fractured reservoirs by utilizing various values for porosity, permeability, and fracture spacing.

Rock Mineralogy Analysis of Airbenakat Formation to Map the Characteristics of the Reservoir Rocks in each Depositional Environment Kharisma Idea; Taufan Marhaendrajana; I GB Eddy Sucipta; Sri Feni
Journal of Petroleum and Geothermal Technology Vol 4, No 2 (2023): November
Publisher : Universitas Pembangunan Nasional "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jpgt.v4i2.10793

The Airbenakat Formation is a sandstone reservoir which is one of the oil reservoirs located in Sumatra and is part of the South Sumatra Basin. The mineral composition of the sandstone reservoir in the Airbenakat Formation consists of quartz minerals as rock grains, clay as matrix and is often identified as cement, while carbonate as rock cement. Based on lithofacies observations, the depositional environment of the Airbenakat Formation consists of: Volcanic Alluvial Fan, Lake, Braid Bar, Braided Channel, Braid Deltaic Environment, Mud Flat, Tidal Sand Bar, Tidal Environment, Shallow Sea, and Deep Sea. This research was conducted on 2 (two) oil fields, namely MRP dan TPN which have different depositional environments but are included in the Airbenakat Formation as part of the South Sumatra Basin.The analyzes used in this study include X-Ray Diffraction (XRD) analysis, petrography, and Scanning Electron Microscopy with Energy Dispersive X-Ray Spectroscopy (SEM/EDX). Analysis of the mineralogical content of the Airbenakat Formation will assist to determine the performance of chemical injections such as injection of anionic surfactant. The anionic surfactant used for chemical injection in Airbenakat Formations will be optimal if the content of smectite and calcite minerals can be ascertained. The presence of smectite and calcite minerals will affect the results of anionic surfactant injection. This research shows the results of anionic surfactant injection on the presence of smectite and carbonate in the injected core.

A Regression Analysis Approach To Van Everdingen-Hurst Dimensionless Water Influx Variables For Infinite And Finite Aquifers Muhammad Taufiq Fathaddin; Yarra Sutadiwiria; Taufan Marhaendrajana; Sonny Irawan; Onnie Ridaliani Prapansya; Asri Nugrahanti
Scientific Contributions Oil and Gas Vol. 47 No. 1 (2024): SCOG
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Until now, water influx calculations have relied on accurate values of the van Everdingen-Hurst WeD dimensionless variables. For programming and hand calculators, equations are needed to determine WeD. The previous model provides equations for WeD calculations for the infinite aquifer case. This paper presents two sets of regression equations that are simple to apply to obtain accurate values of WeD either the infinite or finite aquifer case. The proposed equations have good agreement with the van Everdingen-Hurst method with an average difference of 0.77% and 1.18% for the cases of infinite aquifer and finite aquifer, respectively.

Backpropagation neural networks for solving gas flow equations in porous media Adrianto, Adrianto; Syihab, Zuher; Sutopo, Sutopo; Marhaendrajana, Taufan
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp3744-3756

This study proposes a backpropagation neural network (BPNN) as an alternative solver for nonlinear equations in gas flow simulation through porous media. Conventional solvers like the Newton-Raphson (N-R) method are accurate but may become inefficient for large-scale or heterogeneous systems. We develop a feedforward BPNN architecture with adaptive learning rates to solve discretized residual equations from the one-dimensional gas flow model. The methodology includes finite difference discretization and mapping the nonlinear algebraic system into a four-layer neural network. The BPNN solver is validated against the Newton method across various grid sizes and heterogeneous permeability-porosity distributions. Results show that BPNN achieves high accuracy, with maximum absolute errors (MAE) of only 0.241 psi in the homogeneous model and 0.0418 psi in the heterogeneous model. While the BPNN requires more iterations and longer computation time, especially for finer grids, it exhibits the ability to learn pressure patterns and improve efficiency over time. This approach demonstrates that BPNN can serve as a viable nonlinear solver in reservoir simulation, offering flexibility in handling nonlinearities while maintaining accuracy.

Co-Authors Achmad Munir Adrianto, Adrianto Anugerah Solida Asri Nugrahanti Billal Aslam Boni Swadesi Dara Ayuda Maharsi Dara Ayuda Maharsi, Dara Ayuda Deana Wahyuningrum Doddy Abdassah Doddy Abdassah Doddy Abdassah Doddy Abdassah Dyah Rini Ratnaningsih Erdilla Indriyani Farizal Hakiki Farizal Hakiki, Farizal Gerry Sasanti Nirmala H.P. Septoratno Siregar H.P. Septoratno Siregar, H.P. Septoratno I GB Eddy Sucipta Kamil, Maulana Insan Kharisma Idea Leksono Mucharam Leksono Mucharam Maulana Insan Kamil Muhammad Ghifari Ridwan Muhammad Hasto Nugroho Muhammad Taufiq Fathaddin, Muhammad Taufiq Onnie Ridaliani Prapansya Pudji Permadi Pudji Permadi, Pudji Rani Kurnia Ridwan, Muhammad Ghifari Rini Setiati Septoratno Siregar Sonny Irawan Sonny Irawan Sri Feni Sri Feni Maulindani Sri Feni Maulindani Sudjati Rachmat Suryo Prakoso, Suryo Sutopo Sutopo Syihab, Zuher Yarra Sutadiwiria Zona Nuansa Antariksa

Title

Found 19 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 19 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 19 Documents
Search