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Activity Sequencing & AI-Driven Corporate Planning

A unified corporate planning ecosystem that replaces the annual planning cycle — where business planning, programme construction, sequence optimisation, short-term forecasting and performance monitoring all operate within a single, continuously-current, AI-driven environment. The months-long programme build becomes a process measured in days. Continuous, autonomous adjustment becomes the normal operating mode.

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Introduction

The annual planning cycle stops being an event. It becomes a continuous capability.

Every energy producing organisation runs an annual planning cycle — building the business plan, constructing drilling and intervention programmes, revising short-term forecasts, and assembling the activity sequences that govern the year's operations. It is one of the most consequential processes in the entire operational calendar. It is also, in virtually every organisation in the global energy industry, one of the most inefficient.

This product addresses these failures at their root — not by improving the existing process, but by replacing it. Business planning, programme construction, sequence optimisation, short-term production forecasting and performance monitoring all operate within a single, continuously-current, AI-driven environment. By the time a conventional programme is approved, the assumptions underpinning it have already shifted. Here, the months-long build becomes a process measured in days, and approval iteration becomes a process measured in hours.

The Position In The Intelligence Chain

The Reservoir Intelligence product continuously maintains the technical foundation — the always-current development plan, the ranked opportunity waterfall, the up-to-date production forecasts. This product takes that intelligence and converts it into corporate planning reality: the annual programme, the optimised sequence, the resource allocation, and the live monitoring of delivery against it. The chain runs from reservoir to plan to programme to execution — and this product is the link that ensures nothing is lost in translation between the plan and the field.

The Corporate Planning Ecosystem

Preserving the intelligence of the plan, from opportunity to sequence.

The programme build begins with governed access to every data source relevant to the activity programme — FDP-derived well profiles, short-term forecasts, rig and hoist specifications, operational constraints and budget envelopes. For well interventions, the full reservoir intelligence layer feeds the opportunity identification process: operational data combined with always-current full-field reviews generates and continuously refreshes the opportunity funnel, which is then prioritised and filtered by gain and cost before sequencing begins. The knowledge embedded in the field development plan is preserved intact — nothing is lost in translation.

Figure B.12 — Intervention opportunity identification: operational data combined with evergreen full-field reviews feeding the opportunity funnel, which outputs prioritisation and filtration by gain and cost
The Planning Process It Replaces

Four stages — each with a structural failure that compounds the one before it.

The conventional workflow for building and managing an annual activity programme is not merely inefficient. It is systematically incapable of capturing the full value of its programme, because its tools cannot find the optimal sequence, revise it at the pace conditions change, or identify deviations early enough to prevent loss.

01
Data collation & sequence generation
Opportunities gathered from multiple sources and manually translated into schedules — a process so lossy the sequence is already a degraded representation of the plan it came from.
02
Sequence optimisation
A combinatorial problem no spreadsheet team can solve to optimality. Teams find a workable sequence; they cannot find the best one. The deferred production stays invisible.
03
Sharing & approval
Each stakeholder iteration consumes four to seven days; multi-round programmes consume months. The programme arrives at the field reflecting conditions that no longer exist.
04
Execution monitoring
KPIs compiled retrospectively from multiple systems; deviations surfaced in weekly meetings. By the time a deviation is escalated, the window for early intervention has closed.

The shift: the value left on the table is not the result of poor execution — it is the result of a planning architecture never designed to handle the complexity of modern field operations at scale. This product replaces the architecture itself.

AI-Driven Sequence Optimisation

Finding the best plan, not just a workable one.

The multi-objective constrained optimisation engine transforms programme build from a manual approximation into a rigorous search for the genuinely optimal outcome. It runs in two modes: unconstrained optimisation identifies the theoretical maximum and exactly which constraints are binding and by how much; constrained optimisation delivers the best currently-achievable programme within operational reality. Both feed a shared approval environment where every scenario is directly comparable — compressing approval cycles from days to hours.

Figure B.13 — Drilling programme planning workflow: FDP-translated wells and evergreen models feed an environment running both unconstrained and constrained optimisation into a shared approval environment
Agentic Operations

Autonomous adjustment, reallocation
and alerting

The most significant transformation is not the quality of the initial sequence — it is maintaining that quality continuously as reality evolves. Autonomous adjustment becomes the normal operating mode.

The Programme Always Reflects Current Reality

Autonomous Re-Sequencing

The product continuously monitors every condition that governs the optimality of the active sequence — well readiness, equipment availability, operational progress, production performance and resource scheduling across the entire portfolio.

When any condition changes materially, it does not wait for a planning team. It perceives the change, assesses its implications across the full portfolio, and re-optimises automatically. A rig that becomes available is immediately matched to its highest-value next deployment across the whole portfolio — not just the next well in the existing sequence.

Continuous
Re-optimisation as conditions change
28%
Faster full programme completion
Figure B.14 — Optimised sequence timeline: the full activity programme across the planning horizon, each resource unit's activities colour-coded by type with actual versus planned performance tracked continuously
Across the Full Portfolio, Continuously

Intelligent Resource Reallocation

In conventional operations, resources are assigned at programme approval and reallocated only when disruption forces a response — a systematic misallocation that accumulates between reviews while higher-value opportunities wait for the next cycle.

This product replaces that static model with a continuously-operating resource intelligence function that ranks every available activity across the full portfolio — new oil, workovers, interventions, maintenance — against its current economic value, honouring every operational constraint simultaneously so the reallocations it recommends are not just economically optimal but operationally executable.

17.6%
Reduction in hoist movement distance
Real-time
View of deployment efficiency
Figure B.15 — Geospatial sequence map view: rig and hoist movement paths visualised spatially across the field cluster, enabling continuous optimisation of the logistical dimension of resource allocation
Acting Before Thresholds Are Breached

Proactive Alerting

The delivery monitoring environment tracks every activity continuously, from pre-execution readiness through to completion. Its most important function is not tracking what has happened — it is anticipating what is about to happen and enabling intervention before it does.

Configurable thresholds trigger escalation before deviations materialise. A well approaching its start date without confirmed facility readiness triggers an alert before the delay idles a rig. Each alert is routed directly to the relevant decision-maker — not broadcast to a list — with the projected impact already calculated and the economic case for corrective action already assembled.

Pre-empt
Issues surfaced before they compound
Pre-quantified
Recommendations, not raw notifications
Figure B.16 — Live delivery monitoring and alerting: configurable KPI dashboards tracking oil gain by resource unit, actual versus expected performance and unit cost trends, continuously updated to surface deviations
What Changes for the Organisation

Three Things That Change at the Most Senior Level

First, the quality of the programme improves structurally — through optimisation mathematically superior to any manual team, and agentic re-sequencing that maintains that quality continuously rather than letting it degrade between cycles.

Second, the speed of planning decisions compresses radically. Months become weeks; weeks become days; hours become minutes for pre-calculated reallocation decisions. The organisation responds at the pace the field demands.

Third, accountability for performance becomes transparent, continuous and actionable — a live, quantified view against the optimised baseline, with proactive alerts and pre-calculated recommendations. Performance is no longer reported periodically; it is governed continuously.

Days
Programme build, from months
Hours
Approval iteration, from weeks
Figure B.17 — Documented case study: comparison of oil gain profiles between the base sequence and the optimised sequence across a full field cluster over a one-year intervention programme
Demonstrated Impact

Results documented in live deployments at national-operator scale.

24%
Additional new oil production in the first year from optimised rig sequencing across 85 fields, 24 rigs and 2,455 wells.
35%
Acceleration in oil gains in the first quarter across 10 fields, 7 hoists and 475 wells — from sequencing alone, with no added resources.
28%
Reduction in the time required to complete the full intervention programme in the optimised scenario.
17.6%
Reduction in hoist movement distance, directly cutting logistical cost and non-productive time across the programme.
$110M+
Combined savings and accelerated revenue in a single year from a single division — a 19% cut in OPEX and a 5% rise in net profit.
76%
Additional production identified through unconstrained scenario analysis, quantifying the theoretical maximum and the bottlenecks preventing it.
Every figure validated against actual production and financial performance data. A more than $1.1 billion increase in total production revenue over three years from a single division deployment.
Platform Position & Competitive Differentiation

A market need existing platforms were never designed to serve.

ERP systems are transaction-focused; project management tools cannot handle the combinatorial complexity of a multi-field, multi-rig programme; specialist applications address one activity category in isolation. This product is the first to combine FDP-backed programme build, national-scale constrained optimisation, agentic re-sequencing, continuous resource intelligence and proactive alerting in a single environment — and the only one that connects directly to the reservoir intelligence layer governing the opportunity waterfall being sequenced.

Beyond transaction tracking
ERP platforms track procurement, invoicing and delivery but cannot optimise the sequence in which activities should be executed. This product optimises the sequence itself.
Solves the combinatorial problem
Project management tools provide scheduling frameworks but cannot handle the constraint complexity of a multi-field, multi-rig programme. The optimisation engine can.
The whole portfolio, not one silo
Specialist planning applications address one activity category in isolation. This product optimises across the full portfolio of competing activities and shared resources.
A combination no platform offers
Agentic re-sequencing, continuous resource reallocation, proactive alerting and live monitoring with automated economic projection — combined in one environment for the first time.
Built on the Energy OS
Native sovereign deployment capability, a governed data foundation connecting to every relevant operational source, and two decades of deployment experience.
Compounds with every deployment
Each deployment refines the optimisation parameters, deepens the constraint models and strengthens the domain intelligence — an advantage that compounds with every programme.
The Scale Of The Opportunity

The value is not what it costs to deploy. It is the production already within reach.

A 24% acceleration in new oil production in the first year of a drilling programme across a full national division — from sequencing optimisation alone — represents value the organisation achieved without drilling a single additional well, deploying a single additional rig, or committing any additional capital. A more than $1.1 billion increase in total production revenue over three years makes the economic argument as close to self-evident as any technology investment in the energy industry can be.

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