Master of Reservoir Modelling and Analytics — Master at London School of Oil and Gas Management

Master of Reservoir Modelling and Analytics


Course Overview

The Master of Reservoir Modelling and Analytics is a UK Level 7 postgraduate qualification delivered over 1 year full-time or 2 years part-time across on-campus, online and distance routes. The programme concentrates on quantitative reservoir modelling combined with modern analytics, machine learning and uncertainty workflows for field decisions, and it is written in step with SPE and IADC competency frameworks used across the UK energy sector. Applicants join weekly seminars run by practising engineers, HSE specialists and energy economists working in UK upstream engineering and operations functions across the North Sea, international basins and service firms.

By graduation, you will be producing well and completion designs, contributing to reservoir models and framing production forecasts for senior audiences. You finish with a substantial dissertation, capstone or sponsor consulting project, reflecting research-informed senior practice, with a dissertation or sponsor consulting piece as the closing artefact, and ready to step into a research-informed postgraduate qualification and dissertation on the record. The Master of Reservoir Modelling and Analytics is calibrated to UK employer demand and reviewed each intake against sector signals from operators, service firms and professional bodies.

Key Features

  • UK Level 7 postgraduate qualification with named programme-tutor support across all three study modes
  • Syllabus aligned with Energy Institute (EI), International Association of Drilling Contractors (IADC) and Society for Underwater Technology (SUT) competency areas
  • Sponsor consulting project or research dissertation grounded in operator practice and reviewed each intake
  • A dissertation on a live reservoir modelling question with sponsor input
  • Careers coaching linked to UK Continental Shelf operators and Aberdeen service firms
  • UK-formatted technical reporting and briefing writing drilled through every module
  • Three parallel study modes accessible around shift, rota and family patterns in the energy sector

What You Will Learn

  • Build static geological models from wireline, core and seismic inputs
  • Design dynamic reservoir simulation models for primary, secondary and tertiary recovery
  • Apply history matching workflows to constrain uncertain parameters
  • Use assisted history matching and ensemble methods for probabilistic forecasts
  • Apply machine learning to well log interpretation and production forecasting
  • Assess enhanced oil recovery and CO2-EOR scenarios in a modelling framework
  • Frame reservoir uncertainty for field development decision making
  • Present reservoir modelling and analytics findings in operator-format documentation and briefings

Who This Course Is For

  • Graduates from engineering, science, economics or management disciplines moving onto the reservoir modelling track
  • Senior professionals moving into research-informed practice with a dissertation on the record
  • International applicants targeting a UK Level 7 postgraduate credential with named tutor support
  • Career changers with senior experience wanting a credentialed postgraduate route
  • Working professionals studying part-time around energy-sector shift, rota or advisory-firm patterns

Career Pathways

Graduates from the Master of Reservoir Modelling and Analytics move into roles across UK upstream engineering and operations functions across the North Sea, international basins and service firms, drawing on the LSOGM alumni network and careers service. Sample destinations include:

  • Reservoir Engineer
  • Reservoir Simulation Engineer
  • Drilling Engineer
  • Petrophysicist
  • Deepwater Well Engineer
  • Subsea Engineer
  • Field Development Engineer

LSOGM careers service links Master finishers with UK operators, service firms and international assets recruiting through London, and supports applications for professional-body membership routes aligned to the Master of Reservoir Modelling and Analytics. Coaching covers CV, LinkedIn and interview preparation for UK sector recruitment cycles, with named alumni contacts available for informational interviews across UK upstream engineering and operations functions across the North Sea, international basins and service firms.

Entry Requirements

  • A UK Bachelor degree at 2:2 or above (or international equivalent) in a relevant discipline.
  • Relevant work experience considered in place of formal academic qualifications for senior applicants.
  • IELTS 6.5 overall (no band below 6.0) for non-native English speakers.
  • Two references, normally one academic and one personal or employer.
  • Personal statement covering your research or professional interests.

Why Study at LSOGM

The London School of Oil and Gas Management is a specialist division of Harold International College of London teaching in small, tutor-visible cohorts. LSOGM sits within reach of the City energy trading floors, the offshore expertise of Aberdeen and the North Sea, and one of the world densest concentrations of oil, gas and energy sector employers, professional bodies and standards organisations. That geography shapes the Master of Reservoir Modelling and Analytics, with visiting practitioners and case studies drawn from operators, contractors and advisory firms active in the UK sector.

Every intake, on-campus, online or by distance learning, joins the same weekly seminar structure with named programme-tutor support. Three parallel study modes make the Master accessible around work, family or shift patterns in the energy sector, and the Master of Reservoir Modelling and Analytics syllabus is reviewed annually against live employer demand from UK operators and contractors. Faculty are practising engineers, HSE specialists and energy economists, and students leave with evidenced capability across written, quantitative and spoken tasks that map to sector recruitment.

Apply for Master of Reservoir Modelling and Analytics

Bring your ambitions in petroleum engineering & upstream operations into a UK-credentialed programme with named tutor support, three parallel study modes and a syllabus reviewed each intake against live sector demand. Take the senior postgraduate track with LSOGM. Click Enrol Now. Admissions responds within one working day. Admissions will confirm current fee bands, instalment plans and intake dates for the Master of Reservoir Modelling and Analytics in writing. Enrol Now.

Frequently asked questions.

Common questions about Master of Reservoir Modelling and Analytics.

The Master of Reservoir Modelling and Analytics runs 1 year full-time or 2 years part-time. Full-time cohorts on the Master of Reservoir Modelling and Analytics typically finish inside the shorter end of the band, while part-time and distance-learning routes extend to the longer end around work and shift commitments.

The Master of Reservoir Modelling and Analytics is delivered in three parallel modes, on-campus in London, live online and by distance learning. All routes share the same seminar structure and named programme-tutor support across the Master of Reservoir Modelling and Analytics.

Yes. The Master of Reservoir Modelling and Analytics is a UK Level 7 postgraduate qualification issued by LSOGM. The syllabus of the Master of Reservoir Modelling and Analytics is aligned with UK professional-body competency areas relevant to reservoir modelling and analytics, though LSOGM does not claim direct professional-body accreditation.

Entry to the Master of Reservoir Modelling and Analytics follows the standard LSOGM Master route, covering academic entry, English-language evidence and references. The Master of Reservoir Modelling and Analytics statement of intent should show a clear interest in reservoir modelling and analytics.

Tuition for the Master of Reservoir Modelling and Analytics varies by study mode and residency. LSOGM admissions confirms the current Master of Reservoir Modelling and Analytics fee, instalment plans and any employer-sponsored funding routes in writing within one working day of application.