Big Data: Mess versus Value

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Project Description

The problem of “messy” drilling and downhole data, and how to extract maximum value from it, is a pertinent challenge for the petroleum industry – in particular when it comes to advancing the understanding of near‐wellbore physics and chemistry. This is particularly important since technological advancements, workflow optimizations and integrated project processes/execution are directly linked to a reduction in the cost of well construction, which generally is the largest expenditure item during field development. We are looking for a highly motivated bachelor or master student who will be responsible for​ loading, processing, and analyzing continuous data streams from wellbores acquired with sensors during the drilling and reservoir monitoring process (e.g., measurement or logging while drilling). The purpose is to find in and extract from these data key information necessary to optimize drilling and improve our understanding of the processes ongoing in the near wellbore region.Results from this internship project will be integrated into the development of automation systems that are capable of handling massive data streams from drill sites, maximize the quality of these data streams, find key information necessary to optimize drilling (i.e., lower cost), and help reduce risk, lost and non‐productive time (i.e., prevent failures and accidents).We expect that this research will lead to publications, which the student can contribute to. ​​​​
Program - Chemical Science
Division - Physical Sciences and Engineering
Center Affiliation - Ali I. Al-Naimi Petroleum Engineering Research Center
Field of Study - Drilling, production, or reservoir engineering.

About the
Researcher

Tadeusz W. Patzek

Professor, Energy Resources and Petroleum Engineering <br/>Director, Ali I. Al-Naimi Petroleum Engineering Research Center

Tadeusz W. Patzek
Professor Tad Patzek's research involves mathematical (analytic and numerical) modeling of earth systems with emphasis on multiphase fluid flow physics and rock mechanics. He also works on smart, process-based control of very large waterfloods in unconventional, low-permeability formations, and on the productivity and mechanics of hydrocarbon bearing shales.

Patzek has co-designed and evaluated 7 field pilots of various oil recovery processes from waterflood, to steam and steam foam injection. More recently, Patzek got involved in human-machine interactions and safety culture in the offshore environment.

In a broader context, Patzek works on the thermodynamics and ecology of human survival and energy supply schemes for humanity. He has participated in the global debate on energy supply schemes by giving hundreds of press interviews and appearing on the BBC, PBS, CBS, CNBC, ABC, NPR, etc., and giving invited lectures around the world.

Desired Project Deliverables

​We are seeking a B.Sc. (Bachelor of Science) or M.Sc. (Master of Sciences) student who is interested in the stated topic for his / her thesis research. The project is suitable for candidates interested in rock mechanics, geo‐chemistry, or/and data analysis / statistics.​