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BP Americas, Inc. Optimization Engineer in Houston, Texas

108421BR

Job title:

Optimization Engineer

Segment:

Upstream

Req ID:

108421BR

Relocation available:

Yes - Domestic (In country) only

Travel required:

Yes - up to 25%

About BP:

BP's BPX Energy business (formerly known as the Lower 48) operates across a vast US geography, from Texas north through the Rocky Mountains. The business manages a diverse portfolio which includes an extensive unconventional resource base of about 7.5 billion barrels of oil equivalent across 5.5 million gross acres in some of the largest and most well-known basins in the US. Headquartered in Denver (Colorado), BPX Energy employs about 1,700 people across six states, operates more than 9,600 producing wells and has 70,000 royalty owners. Our vision is to be the premier, high return, onshore exploration and production company that consistently increases asset value. Our Wyoming operations are anchored on the giant Wamsutter tight gas field in the south central part of the state. In the San Juan area of Colorado and New Mexico we produce from tight gas sands and operate the largest coal-bed methane field in the US. Our Mid-Continent operations cover the prolific Anadarko, and is home to the famed East Texas basin, along with the Woodford shale gas play and Arkoma basin. We also have non-operating interests in over 10,000 wells across the US with substantial positions in both the Eagle Ford and Fayetteville shale basins. In 2018, BP completed a $10.5 billion acquisition of BHP's world-class unconventional oil and gas assets in the Permian-Delaware basin in Texas, along with two premium positions in the Eagle Ford and Haynesville basins in Texas and Louisiana. These assets currently produce 190,000 barrels of oil equivalent per day, of which about 45 percent are liquid hydrocarbons. The deal represents BP’s largest purchase since buying ARCO in 1999. It is a transformational acquisition for our BPX Energy business which gives the BPX Energy team access to some of the best acreage in some of the best basins in the onshore U.S.

Job Family Group:

Operations Group

Job Profile Summary:

For the optimization engineering role, we are seeking a highly-motivated individual with a growth mindset who enjoys a fast-paced work environment, who can effectively build and scale data science solutions in a real world environment. In the role, individuals work with oilfield operations to optimize work processes, including the following:

Time Type:

Full time

Country:

United States of America

Location:

United States - Texas - Houston

Job advert:

  • Performing predictive analytics to better estimate when field equipment is about to go down and needs to be actioned.

  • Performing pattern and anomaly detection analysis to correctly assess specific issues in the field that require intervention.

  • Optimizing work flows so that the actions performed in the field will create the most overall value to the business.

Candidates must be willing to travel to the field approximately 25 percent of the time to meet with key stakeholders regarding the products that they develop.

Minimum technical skills:

  • R and/or Python experience.

  • SQL experience.

  • Bachelor’s degree in engineering, mathematics, and/or computer science.

  • Ability to write high-quality, efficient, testable code.

Preferred technical skills:

  • Statistics, computational mathematical modelling, and/or machine learning experience.

  • Data visualization experience using PowerBI, Spotfire, or Tableau.

Preferred soft skills:

  • Effective Communicator: Ability to communicate concisely and accurately across an entire organization, ranging from upper management to field personnel. Can communicate purpose and usage of difficult mathematical concepts and algorithms for a wide audience so that they can understand.

  • Growth mindset: Proven ability to quickly learn new concepts, processes, software, engineering and mathematical ideas.

  • Empathetic and customer-focused when designing products: Effective listener who builds products that solves customers’ problems, generates business value, and enhances user experience.

  • Resilient: Ability to deal with open-ended data-related problems, and to gain valuable insights from data sets that may be initially unwieldy. Must be able to effectively clean data sets to perform analysis and predictive analytics work.

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