Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Hi, there!
About me
Page not in menu
This is a page not in th emain menu
Posts
Kaggle Projects
Published:
Categories: Predictive maintenance, demand forecasting, fraud detection, churn prediction, scientific ML, human resource, geospatial analysis, computer vision
Faster Drilling with Machine Learning and Particle Swarm Optimization
Published:
Read this work in Towards Data Science
Machine Learning for Prediction in Hydraulic Fracturing
Published:
Read this work in Analytics Vidhya
Oilfield Lithology Prediction from Drilling Data with Machine Learning
Published:
Read this work in Towards Data Science
Drilling Data Dashboard
Published:
Prediction of P-Sonic Log in the Volve Oil Field using Machine Learning
Published:
Read this work in Towards Data Science
portfolio
Fiber-Optic Distributed Acoustic Sensing for Seismic Monitoring in Chiba, Japan
Y. Nuwara¹, T. Miyoshi¹, Z. Xue¹, T. Hashimoto¹, T. Nakajima¹
¹Research Institute of Innovative Technology for the Earth, Kyoto, Japan
Full DAS optical fiber record of an earthquake occurring in the Bōsō Peninsula in 20 February 2020 at 06:33 UTC+0
Geophysical Monitoring for Gundih CCS Pilot Project
Short description of portfolio item number 2 
Minus CO2 Challenge: PoD Norne Field, North Sea
Plan of Development (PoD) study for net-zero CO2 emission development of an oil field
Tree Count for two-month Eucalyptus pellita plantation in Riau using YOLOv5 computer vision
Tree count
publications
Integration of Reservoir, Rock Physics, Seismic, and Geomechanical Modelling for CO2 Injection in Carbonate Reef Reservoir
Published in The 82nd EAGE Annual Conference in Amsterdam, 2020
This paper presents a novel methodology for the integration of multiple geophysical methods (rock physics modeling, time-lapse seismic modeling, and geomechanical analysis) for the purpose of monitoring Carbon Capture and Storage in a carbonate reef reservoir.
Seal Capacity Evaluation of CO2 Storage in Carbonate Reef Reservoirs using Equivalent Grain Size Method
Published in 1st EAGE Workshop on Faults in Groundwater, CO2 and Hydrocarbons in Asia Pacific (Canberra, Australia), 2021
This paper discusses our proposed methodology that we (Dr. Kazuo Nakayama in FGI Tokyo and my colleague Kevyn Augusta) developed to evaluate the capacity of seal rock for CCS using the Equivalent Grain Size (EGS) method. Using relation between seal porosity and pore throat size, the EGS method assumes hydrodynamic equilibrium of CO2-gas mixed fluids to calculate each column height in the carbonate reef structure and maximum pressure allowed for CO2 injection.
talks
Python Awareness for Exploration and Production Students and Professionals
Published:
This was presented in a series of webinar organized by SPE Asia Pacific University and SPE Northern Emirates virtually in Malaysia. In this webinar, I presented a motivation presentation for students and young professionals on the education of programming for petroleum engineering and geoscience domains. I showcased some of my open-source works written in Python.
Machine Learning for Sonic Log Prediction: Case Study Volve Field
Published:
This was presented in a community sharing event organized by NEUSTRA Community (community of petroleum engineering ML enthusiasts) and SPE Alexandria University Student Chapter. On this occasion, I presented my project on sonic log synthesis / missing sonic log prediction using Gradient Boosting model.
Application of Machine Learning in Subsurface Analysis: Case Study in the North Sea
Published:
This was presented in the International Geosciences Symposium organized by Christ College in Kerala, India. In this presentation, I shared one of my works on the prediction of synthetic sonic log using machine learning in Volve Field, North Sea.
How Small Can You Detect with DAS: A Case Study in the Bōsō Peninsula
Published:
This was presented in the SAGE/GAGE Workshop on Distributed Acoustic Sensing organized by IRIS held virtually in October 2021. In this presentation, I shared our research progress in RITE. Our research specifically focuses on the application of DAS fiber-optic cable for seismic activity monitoring in Japanese areas.
Data Analytics in Carbon Capture and Storage
Published:
This was presented in King Fahd University of Petroleum and Minerals (KFUPM) virtually in Dhahran, Saudi Arabia. In this presentation, I discussed about the promising role of data analytics in the three phases of CCS projects, namely ANN in the site selection phase, data-driven surrogate modeling in the sequestration phase, and CNN in the monitoring phase.
teaching
Python Programming for Exploration and Production
One-day course, SPE Trisakti University Student Chapter in Jakarta, Indonesia (Virtual), 2020
This course consisted of 3 sessions in 1 day; first session about basic Python programming, second session about Python application in exploration (basic well-log analysis); and third session about Python application in production (basic decline curve analysis of production data). Watch on YouTube: All sessions
Automating Petroleum Geosciences and Engineering with Python
Three-day course, SPE Port Harcourt Section in Nigeria (Virtual), 2020
This course consisted of 3 sessions in 1 month; first session about basic Python programming and well-log analysis, second session about material balance analysis; and third session about well-test analysis. There were also coding assignments after this course. Watch on YouTube: Session 1, Session 2, Session 3
Effective Python Programming for Exploration and Production Students and Professionals
Four-day course/Internship, Marietta College, Department of Petroleum Engineering, 2021
This course consisted of 4 sessions in 1 month; first session about basic Python programming, second session about production data analysis; and third session about exploration data visualization of well-log data, wellbore trajectory, and natural fractures; and fourth session about decline curve analysis and production forecast. This course was held as part of the Spring Internship Program. Watch on YouTube: Session 1, Session 2, Session 3, Session 4