Miguel Rosato
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Miguel Rosato

Completions & Workover Engineering Lead — bridging 25 years of HPHT, deepwater and workover field operations with applied data analytics.

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About me

I am a Chartered Petroleum Engineer (CEng, UK Engineering Council) and Fellow of the Energy Institute with twenty-five years of operator-side experience across Schlumberger, ENI, Total, Maersk Oil, BP, Petronas Carigali, Reliance Industries and Basra Energy Company Limited. I am currently the Completions & Workover Engineering Lead at Basra Energy Company Limited — the BP/CNPC joint venture operating the Rumaila Field in southern Iraq, one of the world’s largest producing oil fields at approximately 1.4 million barrels per day.

I am based in Madrid, Spain, with Italian citizenship and a global operational footprint across Venezuela, Indonesia, the UAE, Oman, Italy, Nigeria, Egypt, the United Kingdom, China, Malaysia, India and Iraq. I am trilingual in English, Italian and Spanish.

My technical identity sits at three intersections: HPHT completions and well testing, deepwater subsea completions (including 6th-generation drillship operations and alternate-path gravel-pack sand control) and workover engineering at scale — most recently scaling Rumaila’s annual workover throughput by approximately 39% with the same rig count.

In May 2026 I completed The Professional Certificate in Data Analytics at Imperial College London, the focus of which has been bringing rigorous quantitative methods — supervised and unsupervised machine learning, mixed-integer linear programming, and survival analysis — into the daily decision-making of a wells engineering organisation. This site is the public surface of that bridge: my technical heritage, my analytics work and where the two meet.

Recent projects

  • Imperial College Capstone — Workover Fleet Optimisation (May 2026). End-to-end analytics on a six-year workover performance dataset, culminating in a mixed-integer linear programming model that recommends a dedicated heavy-duty workover rig for complex interventions. See the case study →
  • ESP Failure Predictive Analysis. Survival-analysis approach (Cox proportional hazards / random survival forests) to forecast electric submersible pump failures before they happen — enabling proactive scheduling instead of reactive intervention. ESP workovers represent roughly 73% of all jobs on the field.
  • Rumaila Workover Programme Scaling. Increased annual workover deliveries from 180 in 2024 to 250 in 2025 with a comparable rig count, contributing approximately 142,000 bbl/d of incremental oil recovery and ~US$100M in CAPEX/OPEX savings via reutilisation of 13Cr OCTG, and other optimisation initiatives.

Goals

I am building toward three concurrent positions: executive operational leadership in upstream wells (Wells Manager, Operations Manager), a recognised authority in the application of data analytics to wells engineering, and an independent advisory practice for HPHT design reviews, M&A technical due diligence, and engineering training.

I am preparing an application to the SPE Distinguished Lecturer Programme for the near future on the topic of HPHT Completions in different Fiield Environments, and analytics-driven completion and workover programme management.

Professional & personal interests

Beyond wells: structured problem decomposition (the same discipline whether the problem is a 14,500 psi DST or a poorly-posed optimisation), the operational economics of mature fields, and helping engineers earlier in their careers navigate the technical-to-management transition that I am currently working through myself. Outside work: Enjoy time with my family in Madrid, Gravel Cycling, reading, AI application to my line of work and the long-form study habits I am rebuilding through the Imperial certificate.

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© 2026 Miguel Rosato, CEng FEI · Madrid, Spain

 

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