Browsing FACULTY OF EXPLORATION AND PRODUCTION TECHNOLOGY by Title

Water-Based Mud Design to Handle Troublesome Formation in SIMON Field

Usulludin (2021-09-01)

This research is about the design of drilling mud on the surface and intermediate section of the SIMON Field to determine the drilling mud system and additive composition that is good for dealing with existing formation ...

Water-Based Mud Design to Minimize the Risk of Bit Balling Problem in Barrier-01 Well

Anugara, Ghifari (2021-02-04)

This research is about to design water-based mud to minimize the risk of bit balling problem in Barrier-01 Well. The objective of this research is to know about the effect of lubricant X, KCl Polymer, and Polyamine and ...

Water-Based Mud Design to Minimize the Risk of Bit Balling Problem in Barrier-01 Well

Anugara, Ghifari (Ghifari Anugara, 2021-02-04)

This research is about to design water-based mud to minimize the risk of bit balling problem in Barrier-01 Well. The objective of this research is to know about the effect of lubricant X, KCl Polymer, and Polyamine and ...

Water-Based Mud Design to Minimize the Risk of Bit Balling Problem in Barrier-01 Well

Anugara, Ghifari (Ghifari Anugara, 2021-02-04)

This research is about to design water-based mud to minimize the risk of bit balling problem in Barrier-01 Well. The objective of this research is to know about the effect of lubricant X, KCl, and Polyamine and determine ...

WAX DEPOSITION ANALYSIS OF WAXY CRUDE OIL THROUGH FLOW LOOP TEST AT PT. GMJ GLOBAL ENERGY

Syarifudin, Arief Akhmad (2021-08-06)

Flow assurance is one of the most critical issues in oil and gas production phase. Crude oil with high viscosity often contains heavy material such as wax, paraffin, and asphaltene that causes problem of deposition and ...

WAX DEPOSITION RATE INSIDE PIPELINES PREDICTION USING ARTIFICIAL NEURAL NETWORK APPROACH: A CASE STUDY OF X FIELD, RIAU

Syarifudin, Arief Akhmad (2022-08-30)

This final thesis research provides an AI-based solution approach for the wax deposition problem to predict the wax deposition rate inside pipelines. A deep learning model of the Artificial Neural Network (ANN) algorithm ...

Way Ratai Deep Plutonic Body revealed from 3D Gravity modeling using Satellite Data and its Implications for the Way Ratai Geothermal System

Afiananto, Muhammad Raka Aryaputra (2025-08-14)

The Way Ratai geothermal area in Pesawaran Regency, Lampung Province, is a geothermal prospect located along the Sumatra volcanic arc. This study aims to identify the presence of a deep plutonic body as a potential heat ...