|Location||The Woodlands, United States|
|Date Posted||December 6, 2017|
In this position, the engineer will analyze large datasets to support field development optimization efforts. The successful candidate will be comfortable integrating structured and unstructured data from a variety of sources into data-driven or physics-based reservoir and well models. The engineer will primarily focus on reservoir issues, but will interact with specialists of other disciplines: geophysics, geomechanics, geology, production, completion, drilling, etc.
Extract well and reservoir data from various databases and flat files
Perform basic statistics on datasets to explore trends, patterns, outliers and clusters
Use heuristics, data-driven or physics-based methods to impute data
Bring together data from various disciplines into machine-learning or physics-based models to analyze the geologic and production potential of various well targets, the performance of different drilling, completion and production strategies
Create presentations and Spotfire dashboards to communicate results and distribute the analysis
Develop new workflows and models to analyze unconventional reservoirs and wells and identify value creation opportunities within large datasets
BS in Petroleum Engineering or closely related discipline with a focus in Reservoir Engineering. MS or PhD preferred.
Demonstrated proficiency in Matlab required, experience with other programming languages preferred.
Preferred Technical Skills
Experience with Spotfire
Experience with statistics, machine learning and data mining algorithms
Experience with databases
Experience with various programming languages (Python, R, C, Fortran, JS, etc)
Experience with optimization algorithms
Experience with public datasets (IHS, Drilling Info, etc)
Excellent communication skills
Advanced analytical skills with an aptitude for math.
Ability to offer creative solutions to problems
Proven ability to interact effectively with a multidisciplinary team