eWells

Machine learning drilling optimization software for oil and gas operators, including a Deep Learning platform and tailored models

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Highlights

  • Young companyFounded 2022
  • Hiring2 open roles
  • New on EvolcAdded 2026-10-28

About eWells

eWells OÜ develops DPO™ (Drilling Parameters Optimizer), a deep learning platform that optimizes surface parameters during on-bottom drilling to maximize rate of penetration and reduce drilling time. It also builds tailor-made machine learning models for specific optimization problems and offers operation insights and after action reviews.

Customers are energy producers in the oil and gas industry; the company's listed clients appear on its website. Services include data science model development, data sculpting, mining, feature engineering, database design and consulting, and training. DPO is offered as a Regional DPO Model or a Tailor-Made DPO Model.

The company was founded in Estonia in 2022 as an OÜ. Its website describes it as a startup and reports a proof-of-concept on an Egyptian Western Desert well with a 14.4% decrease in the 8 1/2" hole section compared with field counterparts. Open roles are in engineering (drilling, well and reservoir) and in data science and frontend or backend development.

Product: DPO™ Drilling Parameters Optimizer, a deep learning platform for drilling optimization, plus tailor-made ML models and analytical services.

Jobs at eWells (2)

eWells is hiring for 2 roles in data & AI and engineering.

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