The world's only sovereign-grade, AI-native energy operating system. Twenty years of live deployment. Three autonomous agents replacing human-coordinated workflows on real assets, today.
Conventional characterisation: 3–5 thin sections per day, core description at 25–35m per week, sparse physical MICP sampling. The intelligence arrives too late and too incompletely to inform the decisions that depend on it. This product delivers pixel-level AI petrographic analysis in minutes — with MICP-equivalent pore characterisation from thin section images alone, at full programme coverage, without physical laboratory measurement.
AI models trained on two decades of carbonate and clastic deployments — a subsurface corpus no new entrant can replicate through investment or acquisition. Every output flows as a governed Energy OS data asset directly into reservoir models, not a static report requiring manual re-entry.View More Details →
Every energy producing organisation today manages its most valuable assets against a plan that is, to some degree, wrong — not through negligence, but because updating it was prohibitively expensive. Field development plans are produced in multi-month study cycles and immediately begin to age. Most organisations conduct a genuine field review infrequently. MEERA Centrum ends this model: the FDP becomes a continuously operating intelligence system that is never finished and always current.
Accepts existing reservoir models in ECLIPSE, INTERSECT, CMG, tNavigator, and Petrel formats without replacement. The value is additive to existing investments, not contingent on replacing them.View More Details →
Building an annual drilling programme for a major producing division consumes months of planning effort. Manual processes find a workable sequence — they cannot find the best one. The production deferred because the sequence is suboptimal remains invisible, which is precisely why it has been accepted as structurally inevitable. This product finds the best sequence, then maintains it autonomously as conditions change — without mobilising a planning team.
$60M in savings and $50M in accelerated revenue documented within a single business unit in a single year. Planning cycles from months to hours. No additional wells. No additional capital. Sequencing optimisation alone — this is the value that was always latent in the portfolio, invisible to manual planning processes.View More Details →
Portfolio decisions are made on operator-submitted data of uncertain vintage, economic evaluations built on assumptions that independent stakeholders cannot validate, and reporting cycles that deliver information about the past. The governance model is permanently reactive. FOLIO replaces this with a continuously-current, technically-grounded, economically-rigorous intelligence environment for every stakeholder across the full governance hierarchy — from field engineer to investment committee to national ministry.
FOLIO's AI co-pilot answers plain-language queries about the full portfolio data estate instantly, grounded in the governed data: "What is the total oil production for all blocks in January 2024?" — 977,281 barrels per day, in seconds, without a data analyst in the loop.View More Details →
Logistics in energy field operations is managed today through dispatcher phone calls, manually-maintained spreadsheets, and reactive re-routing when problems are already cascading. REACH replaces this model with four integrated capability domains — governed agentically, connected to the activity programme, and designed to complete the operational loop from reservoir intelligence through physical field execution.
Near-term integration with Activity Sequencing closes the full operational loop — when the programme changes, logistics re-optimises automatically. When logistics fails, the activity sequencer receives the alert before it cascades into non-productive rig time. Physical execution governed by the same intelligence chain that governs the reservoir model above it.View More Details →
The Energy OS is a sovereign-grade, cloud-agnostic AI platform in live industrial deployment for more than thirteen years. It is the infrastructure within which every AI model is trained, every agentic agent operates, and every data asset is governed under sovereign control — nine interconnected layers, each a purposefully designed capability serving the layers above it.
AI-driven pixel-level analysis of thin section images for carbonate and clastic reservoirs. Feature detection and classification for porosity, quartz, feldspar, lithics, clays, and opaque minerals — with ternary plot rock ID. >80% reduction in analysis cycle. >90% analyst time saved per sample.
MICP-equivalent capillary pressure curves and pore throat radius distributions generated from thin section images in minutes — eliminating the physical laboratory constraint entirely. Full programme coverage at a fraction of the cost of physical MICP sampling.
Core box photographs converted to dynamic, azimuthal, depth-synchronised digital descriptions at 40–60% time and cost reduction versus conventional workflows. Every description a governed digital asset, not a PDF report.
Machine-learning-driven RRT classification integrating thin section, core plug, and log-scale data — extended continuously through open-hole logs to characterise the full drilled section. Consistent, repeatable framework across all wells and fields.
Microscopic images, core plug measurements, core photographs, open-hole log suites, borehole imaging, and rock type classifications unified in a single depth-synchronised environment. The complete subsurface intelligence picture in one view.
Centralised, governed, searchable repository for all core data across every well and field in the managed portfolio. Legacy petrographic reports, hand-written core descriptions, and analogue logs digitised and made discoverable.
Every solution below is a live, mission-critical deployment — each one a proof point that the Energy OS operates at the scale, complexity, and criticality that global operators and national institutions demand.
$60M in OPEX savings and $50M in accelerated production revenue from a single division of one national oil company. Not modelled. Not projected. Documented from live operations. Planning cycles reduced from months to hours. Three structural governance failures addressed simultaneously. Agentic delivery monitoring operational since 2023.
28+ petabytes under sovereign governance.
All licensed operators contributing.
Nearly a decade of continuous operation.
Managed for a national Ministry of Energy.
Operator-regulator workflows & compliance.
Cross-operator benchmarking.
Drilling sequence optimisation.
Resource allocation & KPI monitoring.
Planning cycles: months to hours.
Agentic monitoring across well delivery.
Deviations surfaced before they escalate.
Alerts routed to decision-makers live.
Refreshed development strategies.
Production forecasts & evaluations.
Eliminating five-year planning cycles.
Expertise as compounding asset.
Auto-capture of engineering learnings.
Democratisation across workflows.
Partner with TARGET Energy Solutions to deploy sovereign, AI-driven intelligence across your operations — from single assets to national energy systems.