A5039830716- Reservoir Engineering and Simulation Methods
- Oil and Gas Production Techniques
- Fault Detection and Control Systems
- Data Mining and Machine Learning Applications
- Multimedia Learning Systems
- Biofuel production and bioconversion
- Plant Growth and Agriculture Techniques
- Granular flow and fluidized beds
- Edcuational Technology Systems
- Blockchain Technology in Education and Learning
- Time Series Analysis and Forecasting
- Biodiesel Production and Applications
- Water and Land Management
- Information Retrieval and Data Mining
- Engineering and Technology Innovations
- Geological and Geophysical Studies
- Spam and Phishing Detection
- Enhanced Oil Recovery Techniques
- Hydrocarbon exploration and reservoir analysis
- Thermochemical Biomass Conversion Processes
- Drilling and Well Engineering
- Decision Support System Applications
- Waste Management and Recycling
Pertamina (Indonesia)
2025
Universitas Gadjah Mada
2020-2022
Lampung University
2017
Abstract This study investigates the application of Artificial Neural Networks (ANN) to predict power consumption in Electric Submersible Pump (ESP) based on their design parameters, with a focus B field, which has higher per barrel oil compared other fields same region. The objective is evaluate ANN model's ability usage and recommend optimal ESP designs that minimize energy while maintaining production targets. Data from historical installations field was used train model, achieved high...
This research was conducted to make an expert system that is able diagnose disease in chili plants based on knowledge provided directly from the experts. uses classical probability calculation method calculating percentage of diagnoses and implemented Android mobile device. consisted 37 symptoms data, 10 data caused by fungi, rules. forward chaining inference method. Test results shows: (1) Functional testing using Black Box Equivalence Partitioning (EP) give as expected test scenario each...
Developing a forecasting model for oilfield well production plays significant role in managing mature oilfields as it can help to identify loss earlier. It is very common that fields need more frequent measurements detect declining production. This study proposes machine learning system based on hybrid empirical mode decomposition backpropagation higher-order neural network (EMD-BP-HONN) with less measurement. With the individual characteristic of stationary and non-stationary data, creates...
One of the challenges in oil industry is to predict well production absence frequent flow measurement. Many researches have been done develop forecasting petroleum area. machine learning approach utilizing higher-order neural network (HONN) introduced previous study. In this study, research focus on normalization impact HONN model, specifically for univariate time-series dataset. Normalization key aspect pre-processing stage, moreover model.
Abstract Sucker Rod Pumps (SRP) have been extensively utilized in the Duri field Heavy Oil Operations Unit (HOOU) for more than 6000 production wells. Approximately 2000 of these wells are equipped with dynamometer online that generates a daily card (DC). Historically, pump cards evaluation has led to identification several mechanical issues such as traveling valve and standing leak directly impact production. One step traditional process rod failure is based on manual shape analysis...
Abstract Because of hydrocarbon oil reservoirs aging and production declining, due to continuous change characteristics deterioration flowlines shipping pipelines, congealing is becoming an increasingly major challenge in maintaining for both light heavy operations. Thousands barrels are lost on daily basis across the industry indicating that there a significant gap knowledge understand real root causes how address or mitigate them. Hydrocarbon has very complex liquid characteristic...
Research on the development of sustainable alternative fuels to replace fossil has received serious attention because increasing world oil prices and environmental concerns.This study focused Dual Fluidized Bed Gasification technology, especially cold model performance obtain hydrodynamic characteristics bed material.The performances are carried out at Lab.Biomass PTSEIK BPPT Gedung 625 Puspiptek Serpong.Bed material used is silica sand which circulated externally from combustor gasifier...
forecasting oil production rate from well have become focused in many researches. Many papers presented the successful for individual rate. However single model each may not be effective large oilfield which has hundreds or thousands of wells. In this situation, deploying clustering prior might solution. Due to different historical data per form time-series data, dynamic time warping being proposed deliver searching minimum distance between with time-point. Reducing number models definitely...
Fasilitas simulasi sistem pasif (FASSIP-01) merupakan alat uji pendinginan dengan memanfaatkan sirkulasi alam yang di bangun laboratorium thermohidrolika PTKRN BATAN. Untai FASSIP-01 terdiri dari beberapa komponen utama yaitu tabung cooler, heater, perpipaan, dan ekspansi. Salah satu cara mengetahui karakteristika perpindahan panas dalam suatu adalah metode Finite Element Method (FEM) langkah menyelesaikan problem mem-bagi obyek analisa menjadi bagian-bagian kecil terhingga. aplikasi...
Kejadian tanah longsor di Kabupaten Semarang pada tahun 2019 telah terjadi sebanyak 69 kejadian. Data BPBD menunjukkan bahwa 17 dari 19 kecamatan mengalami kejadian kelas rendah hingga tinggi. Masyarakat kurang mengetahui mengenai sistem pelaporan ketika bencana dan tingkat kerawanan daerahnya. Tujuan penelitian ini yaitu memetakan sebaran kawasan rawan melalui pendekatan unit lahan memanfaatkan media daring sebagai bentuk diseminasi informasi kebencanaan dengan berbasis WebGIS. Metode...