Susa Energy

A Consulting Firm

About us

From Western Canadian Sedimentary Basin, to Eagle Ford Shale Play in Texas, to Argentine Vaca Muerta Formation, our experts have worked on various unconventional projects including field development of shale plays, gas EOR (Huff & Puff) in tight formations, air injection in light and heavy oil reservoirs, operation optimization of solvent-assisted/steam-assisted gravity drainage (SA/SAGD), and technology development.

We provide technical support in reserves evaluation, reservoir characterization, production data analysis, PVT modeling, numerical simulation, EOR studies, economical evaluation, and data analytics to help clients optimize field operations and maximize the value of their assets. We also develop specialized application software, compatible with the industry standard Business Intelligence Analytics platforms (BI), for engineering applications and big data analysis to suit customers’ needs.

In addition, we offer a variety of technical courses/workshops covering the most recent developments in petroleum engineering. Our training programs are designed to equip the participants with the ideal combination of fundamental knowledge and practical application. Moreover, we tailor in-house courses to accommodate companies’ specific challenges and training needs. Our instructors have extensive hands-on experience in shale plays, and heavy oil resources with an excellent background in teaching and training.

Consulting

  • PVT modeling
  • Reserves evaluation
  • Reservoir engineering studies
  • Reservoir simulation
  • IOR/EOR studies
  • Economic evaluations
  • Machine learning application in reservoir studies

Training

  • Phase behavior of hydrocarbon reservoirs
  • Modern production data analysis
  • Reservoir engineering
  • Thermal recovery
  • R for petroleum engineers
  • Machine learning in petroleum engineering

Expertise

Recent Posts

Data Visualization in R with ggplot2 – Global Oil Reserves, Production, and Consumption Rates

In this post, the global oil production and consumption data between 1980 and 2017, as reported in the BP statistical review of world energy 2018 report, are used to create different plots using ggplot2 package.. Read More

Contact

Loading