The Diploma in Hydrocarbon Data Mining provides you with the analytical tools necessary to extract value from data and optimize decision-making in the exploration, production, transportation, and marketing of hydrocarbons.
Through a practical and multidisciplinary approach, you will learn to apply data mining, machine learning, and advanced analytics techniques to geological, production, and market information.
You will learn:
– Identify patterns and trends in large volumes of data.
– Apply predictive models to improve operational efficiency based on upstream knowledge
– Integrate analytics tools into energy sector projects.
– Design evidence-based strategies for hydrocarbon management.
Nicolás del Fiol - Graduate
"The diploma program gave me tools and knowledge that helped me solidify everything I had been learning in my undergraduate degree, because it doesn't just cover data analysis; it also includes subjects like Geology, Thermodynamics, and others that help to level the playing field. This allows the diploma program to benefit not only those with backgrounds in hydrocarbons, but also people who studied other fields, such as Accounting, Law, and others."
Personally, I learned to use tools like Jupyter Notebook, I learned to use Machine Learning, and my final project dealt with the correlation between agricultural production and the climatological conditions of the Cuyo region. The final project is very intensive and very worthwhile, and it's supported by the professors, who guide the process and help refine the data presented.
I highly recommend it: for the learning experience, because it allows you to further your training with the Master's in Oil and Gas Management, and because data analysis is in high demand in the industry today. It's precisely here that you learn everything the industry is demanding."
"Although I am an engineer, I'm not from the hydrocarbons sector, and I found the entire schedule of courses I took spectacular. I loved discovering a new world, mixing engineering with new economics subjects; it was all new to me, and I loved it."
"I found it incredibly enriching. The quality of the teachers, how they teach, the materials they provide on campus... Everything made the experience very rewarding."
"I didn't know how to program, and all the teacher support we received was spectacular. I always felt that there was someone there to help and support me in the learning process."
"Also, the bond that forms between groups of friends is really nice. I've kept many friends from last year, and that was also one of the most valuable things I gained from the diploma program."
This Diploma is aimed at professionals who seek to apply Data Mining, Machine Learning and Artificial Intelligence tools in highly complex industrial environments.
Especialmente para:
1.1 Reservoir Engineering
1.2 Calculation of “in-situ” reserves. Material balance. Decline curves.
1.3 Aquifers. Fractured deposits.
1.4 Tight and shale systems in the subsurface.
1.5 Thickness and extent of the formations Content and maturity of the organic matter.
1.6 Identification of areas to be fractured. Concept of sweet spots. Shale formations in Argentina
1.7 Applications of Data Mining, Machine Learning and Deep Learning applied to the engineering of conventional and unconventional reservoirs
2.1 Petroleum system.
2.2 Sedimentary rocks.
2.3 Open pit electrical logs.
2.4 Crossplots. Zonal parameters.
2.5 Introduction to geophysical methods.
2.6 Petroleum Resources Management System (PRMS).
2.7 Data Mining applications applied to petroleum geology and geophysics.
3.1 Refining. Refineries worldwide. Oil refining. Historical development. 3.2 Basic concepts of distillation. Physical separation. Conversion. Crude oil and product treatment. Essential services.
3.2 Refining business areas. Customers. Business cycle.
3.3 Main conversion processes. Product characteristics. Critical specifications. Octane number. Cetane number.
3.4 Natural Gas Processing. Gathering, compression and primary separation. Gas Dehydration.
3.5 Dew Point Adjustment Plants. 5. Gasoline Recovery. Ethane and LPG Separation. 6. Natural Gas Sweetening. 7. Storage and Auxiliary Services
3.6 Business areas. Clients. Business cycle.
3.7 Applications of Data Mining, Machine Learning and Deep Learning applied to the refining and processing of natural gas.
4.1 Physical Properties of Pure Hydrocarbons.
4.2 Mathematical models of behavior. Mathematical models of the behavior of hydrocarbon mixtures at low and medium pressures.
4.3 Convergence Pressures. Two-phase and three-phase equilibria of hydrocarbon mixtures.
4.4 Thermodynamics. Conservation of mass and energy and its application to oil installations in the upstream and midstream.
4.5 Thermophysics of petroleum, well gas and their condensates. Thermochemistry. Combustion. Higher and lower heating values of fuels.
4.6 Concept of entropy and exergetic analysis of installations. Fundamental equations of thermodynamics. Construction of thermodynamic graphs.
4.7 Applications of Data Mining, Machine Learning and Deep Learning applied to thermodynamics and petroleum processes.
5.1 Equipment and tools.
5.2 Rotary drilling. Casing. Directional drilling. Offshore drilling.
5.3 Well Completion. Tubing.
5.4 Chemical stimulations.
5.5 Hydraulic fracturing.
5.6 Sand control.
5.7 Applications of Data Mining, Machine Learning and Deep Learning applied to well drilling and completion.
6.1 Introduction to Data Mining, Machine Learning and Deep Learning.
6.2 Auto Machine Learning applied to the Oil & Gas industry.
6.3 Handling large volumes of data and generating synthetic data.
6.4 Cloud model processing and integration with legacy systems.
6.5 Internet of Things (IoT), Digital Twins, Blockchain and NFTs.
6.6 AI Project Management.
The Faculty of Engineering of the Universidad Austral will issue the Academic Certificate* of approval of the “Diploma in Hydrocarbon Data Mining"to those who comply with the promotion regime."
*The degree will be delivered virtually.
DISCOUNTS AND BENEFITS
Important: Discounts are not cumulative and are subject to availability.
PAYMENT PLANS
Request information on current payment plans and installment options.
AGREEMENTS
Does your company have an agreement with us? Check here for corporate benefits.
La Universidad Austral is #1 in Argentina
Private Management
Contact
