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Journal : Journal of Earth Energy Science, Engineering, and Technology

Determination of Rock Type Using Hydraulic Flow Unit Concept to Predict Permeability with Artificial Neural Network Ghanima Yasmaniar; Ratnayu Sitaresmi; Suryo Prakoso
Journal of Earth Energy Science, Engineering, and Technology Vol. 1 No. 2 (2018): JEESET-VOL.1-NO.2-2018
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.628 KB) | DOI: 10.25105/jeeset.v1i2.3942

Abstract

Permeability is one of the important of reservoir characteristics, but is difficult to predict it. The accurate permeability values can be obtained from core data analysis, but it is not possible to do at all of the well intervals in the field. This study used 191 sandstone core samples from the Upper Cibulakan Formation in the North West Java Basin. The concept of HFU (Hydraulic Flow Unit) developed by Kozeny-Carman is used to generate the relationship between porosity and permeability for each rock type. Afterward, to estimate the permeability value at uncored intervals, the statistical methods of artificial neural network based on log data are used on G-19 Well, G Field which is located in the North West Java Basin. Based on core data analysis from this research, the reservoir consists of eight HFU with different equations to estimate permeability for each HFU. From this reserarch, the results of permeability calculations at uncored intervals are not much different from the core data at the same depth. Therefore the approach of permeability prediction can be used to determine the value of permeability without performing core data analysis so that it can save the company expenses.
The Effect of Adding Adsorbents on Main Indicators of Produced Water Purification Havidh Pramadika; Arinda Ristawati; Bayu Satiyawira; Aqlyna Fattahanisa; Ghanima Yasmaniar; Muhammad Ridhal Malik Syafrudin
Journal of Earth Energy Science, Engineering, and Technology Vol. 6 No. 1 (2023): JEESET VOL. 6 NO. 1 2023
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jeeset.v6i1.15396

Abstract

Formation water is a by-product of oil and gas processing. This formation water is very different from fresh water because formation water contains harmful chemicals and other elements contained in oil or gas. To prevent formation water from contaminating the environment, it is necessary to reduce the formation water content using an adsorbent. Some of the parameters that indicate reduced mineral and chemical content that must be considered for this research are pH, TDS (total dissolved solid), SG (specific gravity), and salinity values. In this study observed changes in these parameters with the administration of adsorbents. Two types of adsorbents used are bagasse and bentonite. The parameters of pH and TDS were measured using litmus paper and TDS paper respectively. While SG and salinity were measured using a salinity hydrometer. The process of giving the adsorbent causes a decrease in these four parameters. The addition of 3 grams of bagasse caused the pH, TDS, SG, and salinity of the formation water to decrease to 7.8, 3086 ppm, 1008 and 12 ppt, respectively. While the addition of 3 grams of bentonite caused these four parameters to decrease to 7.8, 2720 ppm, 1010 and 14 ppt respectively.
Co-Authors Abdalrazaq, Eid ABDUL HAMID Abdul Karim Abdullah, Fahman Adrian Manggala Putra Alfredo Meirexa Alimudin, Fadilah Aldo Alvin Henk Apriandi R.R.W Apriandi Rizkina Rangga Wastu Apriandi Rizkina rangga Wastu Apriandi Rizkina Rangga Wastu Aqlyna Fattahanisa Arfiani Nur Arinda Ristawati Bayu Satiyawira Dio, Mario Valentino Djoko Sulistyanto Djoko Sulistyanto Djoko Sulistyanto, Djoko Djunaedi Agus Wibowo Fadliah Fadliah Fadliah Fadliah, Fadliah Fadliah, Fadliah Fahman Abdullah Farhan Arif Wardhana Farhan Zimah Fathaddin, M.Taufiq Fathadhin Fathadhin Firman Herdiansyah Firman Herdiansyah, Firman Hasri Hasri Havidh Pramadika Havidh Pramadika Henk, Alvin Husla, Ridha Indah Oktaviani Hardi Indah Raya Jodica Jodica Kollur, Shivaa Prasad Lestari Lestari Lestari Said Lestari Said Lestari Said, Lestari M.Taufiq Fathaddin Malinda, Marmora Titi Maman Djumantara Mario Valentino Dio Mochammad Rizky Mahesa Pratama Muhammad Burhannudinnur Muhammad Ridhal Malik Syafrudin Mulia Ginting Mulia Ginting, Mulia Nur Chasanah, Anggraita Oetomo, R. Hari Karyadi Ongkor, Gabriella Aurelia Nadiya Onnie Ridaliani Onnie Ridaliani, Onnie Palit, Christin Pauhesti Pauhesti Pauhesti Pauhesti, Pauhesti Paulina Taba Ratnayu Sitaresmi Reinaldi Ridaliani Prapansya , Onnie Ridha Husla Ridha Husla Ridha Husla ridha Husla Ridha Husla Rizky Rezha Fauzi Samsol Saputra, Ade Kurniawan Shanahan, Elian Duke Sigit Rahmawan Subandrio Sulistiani Jarre Suryo Prakoso, Suryo Suyanto, Nine Widiawati Syachbani, Bherickof Ralfh Syahruddin Kasim Tedy Subardja Tedy Subraja Wahid Wahab, Abdul Wastu, Apriandi Rizkina Rangg Wastu, Apriandi Rizkina Rangga Widayati Putri, Tri Widia Yanti Widia Yanti Widia Yanti, Widia Yulia, Prayang Sunny Zahra, Audrey Zimah, Farhan