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All Journal Jurnal Offshore: Oil, Production Facilities, and Renewable Energy LEMBARAN PUBLIKASI MINYAK DAN GAS BUMI
Fidya Varayesi
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Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Energy Engineering Environmental Science Mechanical Engineering

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PENGARUH PENAMBAHAN KONSENTRASI REVERSE DEMULSIFIER TERHADAP NILAI OIL CONTENT DAN EMULSION BLOCK PADA AIR INJEKSI LAPANGAN JAMBI Dahrul Effendi; Fidya Varayesi
Lembaran Publikasi Minyak dan Gas Bumi Vol. 53 No. 1 (2019): LPMGB
Publisher : BBPMGB LEMIGAS

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Abstract

Air injeksi yang digunakan sebagai fl uida pendesak dalam water fl ooding sering ditemukan masalah pada kualitasnya, diantaranya adalah masalah oil content dan emulsion block. karena minyak bertindak sebagai perekat pada padatan yang menyebabkan penyumbatan pada pori- pori batuan. Hal tersebut berpotensi dalam penyebab terjadinya low oil recovery factor pada proses water fl ooding. Air injeksi (IW) dan air formasi (FW) sebelum di injeksikan kedalam reservoir perlu dianalisa dilaboratorium dengan tujuan air injeksi dapat digunakan sebagai fl uida pendesak pada proses water fl ooding. Berdasarkan hasil uji laboratorium, air injeksi (IW) menunjukkan konsentrasi oil content yang tinggi yaitu 50.55 mg/L, sehingga dapat membentuk emulsion block, hal ini dapat mengakibatkan plugging pada pori-pori batuan. Untuk itu, solusi yang dipilih untuk menyelesaikan masalah emulsion block dalam penelitian ini yaitu dengan menggunakan chemical treatment. Masalah oil content dan emulsion block dapat diatasi dengan menggunakan reverse demulsifi er, pada uji di laboratorium dengan menambahkan konsentrasi 50 mg/L reverse demulsifi er kedalam air injeksi dapat meningkatkan kualitas air injeksi dari poor water quality (oil content 50.55 mg/L) menjadi good water quality (oil content 15.89 mg/L).
Perkiraan Laju Penetrasi Pengeboran Sumur Panas Bumi Menggunakan Adaptive NeuroFuzzy Inference System Muhammad Taufiq Fathaddin; Rini Setiati; Havidh Pramadika; Agus Guntoro; Fidya Varayesi; Alvita Kumala Sari
Jurnal Offshore: Oil, Production Facilities and Renewable Energy Vol. 8 No. 1 (2024): Jurnal Offshore: Oil, Production Facilities and Renewable Energy
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jo.v8i1.1786

Abstract

Plan an optimal geothermal well drilling scheme, the identification of suitable drilling parameters must be well known.Several important parameters in a drilling operation include rotary speed (N), weight on bit (WOB), true vertical depth (TVD), foamflowrate (FF), and rate of penetration (ROP). Information regarding these parameters can be obtained from drilling geothermal wells.Drilling parameter correlations are then obtained based on this information. The application of an adaptive neuro-fuzzy inferencesystem (ANFIS) is necessary considering that the relationship between parameters is very complicated and non-linear. On the other hand, the relationship between parameters is not easy to know. In this study, the ANFIS model is developed to propose ROP. Data wasobtained from four wells in a geothermal field in South Sumatra. Three ANFIS models were generated. Each model includes different input parameters. rotational speed (N) and weight on drill bit (WOB) and true vertical depth (TVD) are recommended for estimation of rate of penetration (ROP). Adding the foam flow (FF) input rate parameter can improve the accuracy in three out of four cases. Based on the calculation results of the ANFIS-1, ANFIS-2, and ANFIS-3 models, the average relative absolute deviation (MARE) values were 16.42%, 6.99%, 4.14%, respectively, while the correlation coefficient (R) was respectively - respectively 0.716, 0.909, and 0.937
Co-Authors Agus Guntoro Alvita Kumala Sari Dahrul Effendi Havidh Pramadika Muhammad Taufiq Fathaddin, Muhammad Taufiq Rini Setiati