
chad kronkosky
president | owner
About
13+ years (10 years as a Professional Engineer in Texas) of Petroleum Engineering and Geological experience servicing Private Equity Management Teams and small independent E&P companies. Finalizing doctoral dissertation * Applications of Data Science in Petroleum Engineering * with practical and applied application to real-world industry problems. Advanced technical focus is oil and gas reserve/resource analysis and reservoir engineering incorporating data analytic methodologies (e.g. high dimensional machine/deep learning, spatial optimization, visualization, and data/information ingestion/integration, REST/RShiny Apps) to large disparate datasets within the E&P Industry.
united states
midland
oil & energy
petroleum engineering, reservoir engineering, reservoir management, reservoir simulation, reserves, statistical programming, database development, formation evaluation, petroleum geology, machine learning, web applications, private equity, project management, business development, microsoft sql server, r, ubuntu, linux server, sql, perl, representational state transfer, visual basic for applications, geographic information systems, petroleum economics, r shiny, rstudio, ppdm, phdwin, petra, expert witness, microsoft servers, deep learning, spatial databases, data science, stochastic methods, private piloting, matlab, petroleum, gas, engineering, completion, energy industry, upstream, drilling, oilfield, oil and gas, energy, geology, oil/gas, oil and gas industry, natural gas, field development
Experience

reservoir engineer
bold operating

petroleum engineer
ute oil company d.b.a act operating

president | owner
cek engineering
* Preparation of Third Party Reserve/Resource Reports (PRMS/SEC Definitions) * Acquisition and Divestment Screening * Coordination with lending institutions, on client * s behalf, for their annual credit determinations * Secondary Recovery Projects and Unitizations * Unconventional Resource Evaluations * Engineering/Geological Support for Operated and Non-Operated Client Properties * Expert Witness Testimony * Software Development ("R", SQL, perl, some C++ for "R" functions) * Initiated Development of a Statistical WebApp platform utilizing PPDM 3.9.

teaching assistant and lecturer
texas tech university
* Courses Taught * Fall 2016 PETR 4300 Petroleum Property Evaluation and Management (120 * Fall 2016 PETR 4121 Petroleum Design Seminar 1 (120 * Spring 2017 PETR 4221 Petroleum Design Seminar 2 (120 * Petroleum Department IT Committee Lead * Coordinate with COE IT Staff to move all departmental software (e.g. PHDwin, PETRA, IHS Harmony) to new Citrix xenapp servers.

instructor - petroleum engineering
mississippi state university
* Courses Taught * Fall 2017 PTE 4953 Formation Evaluation (15) * Fall 2017 PTE 3902 Core Analysis Lab (15) * Spring 2018 PTE 4963 Oil Recovery Methods (15) * Spring 2018 PTE 4993 Petroleum Economics (15) * Spring 2018 PTE 4990 Capstone "Senior" Design (15) * Spring 2018 CHE 4441 Professional Engineering Seminar (FE Review)
Education
texas tech university
petroleum engineering
Masters Thesis Title: "Prediction of CBM Reservoir Performance Using Stochastic Methods: Horizontal Well Completions in the Illinois Basin Indiana Seelyville Coal Formation" May 2009
texas tech university
petroleum engineering
texas tech university
petroleum engineering
Part-Time Ph.D. Student / Full-Time Engineering Consultant & Business Man. Ph.D. Dissertation Title: “Applications of Data Science in Petroleum Engineering” Currently finished with coursework; finalizing Doctoral Research Proposal…technically not in Candidacy (I have not taken comprehensive exam to date due to scheduling conflicts) – but will be January 2016. I am quite far along in my Research…I 'm planning on Defending in April 2016. If you have interests in the topics below feel free to contact me. Current Research Activities ► Induced Seismicity in Texas (Petroleum Engineer’s Perspective) ► Construction of a Master Database for Class II Injectivity in Texas (1958 to 2014) ► Application of Data Science in Petroleum Engineering Utilizing Microsoft SQL and GNU “R” Programming/Scripting Topics ► Spatial Temporal Statistics in GNU “R” ► Advanced Spatial Queries in Microsoft SQL Server (2012+) ► RStudio Shiny Server Application Development ► Reproducible Research with GNU “R”
chad kronkosky's Contact Information
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