ENERGYAI · STAR PRODUCT
★ RESERVOIR ENGINEERING

EnergyAI ReservoirIntel

AI-assisted production forecasting and reservoir management

ReservoirIntel helps asset teams understand current field performance, forecast future production and evaluate development potential. It combines production, injection, pressure, completion and reservoir information to build well-to-field forecasts, compare development scenarios and screen opportunities for engineering review.

ReservoirIntel is an AI-assisted production analysis and reservoir management platform that turns field data into forecasts, development scenarios and traceable opportunity assessments. From individual wells to integrated field profiles, it helps teams evaluate production outlook, investigate intervention potential and compare development options.
RESERVOIRINTEL / ACTUAL SOFTWARE PREVIEW
EnergyAI ReservoirIntel Desktop software screenshot showing decline forecast, field-level and injection support analytics
Production performanceOil, gas, water and injection trends
ForecastingWell → block → reservoir → field
ScenariosReactivation, workovers, new wells
ReportingMaps, charts, slides and Excel
CORE CAPABILITIES

Built for forecasting, surveillance and review

The product brings operational and reservoir context together in one technical workspace while keeping forecasts and opportunity screening grounded in explicit assumptions.

01

Production performance analysis

Analyse oil, gas, water, water cut and injection trends at well, block, reservoir and field levels. Identify declining producers, inactive wells and changes following interventions.

02

Automated decline forecasting

Generate well-level decline forecasts using exponential, hyperbolic and harmonic models, with configurable fitting periods, decline limits, economic cutoffs and forecast horizons.

03

Integrated field forecasts

Aggregate well forecasts into block, reservoir and field profiles, retaining production history and the assumptions behind each forecast.

04

Scenario planning

Compare business-as-usual production with scenarios incorporating reactivation, workovers, recompletion, new wells and injection assumptions.

05

Field-potential screening

Bring together baseline forecasts, remaining-reserve information and candidate interventions to explore potential production contributions. Results support engineering assessment rather than establish recoverable reserves.

06

Waterflood and pressure surveillance

Examine injection trends, water cut, pressure measurements and simplified voidage replacement to support injection and production reviews.

07

Intervention evaluation

Plot workover and stimulation events against production history and examine observed changes before and after operations.

08

Reservoir opportunity intelligence

Reconcile FER-identified zones with testing, perforation and operational records to identify intervals requiring further evaluation.

09

AI-powered data integration

Extract information from technical documents and connect it with structured production and reservoir datasets.

10

Management reporting

Generate interactive maps, historical and forecast charts, scenario comparisons, presentations and Excel profile packs.

ANONYMISED FIELD DEMONSTRATION

Mature-field scale demonstration

ReservoirIntel has been applied to a mature-field dataset containing large-scale production, injection and event histories, alongside reservoir intervals and technical documents.

177,000+Production records
96,000+Injection records
32,000+Event records
TraceableReservoir intervals and documents

*For confidentiality, field, well, reservoir and block names are hidden. Record counts indicate database scale, and forecasts and opportunity assessments remain subject to engineering validation.

DEMONSTRATED WORKFLOWS

How teams use ReservoirIntel

The demonstration focused on practical technical workflows that connect historical data, production trends and engineering review.

01

Historical production analysis

Analyse production histories and generate automated decline forecasts for individual wells and aggregated views.

02

Well-to-field forecast aggregation

Combine well forecasts into block, reservoir and field profiles and compare them against business-as-usual assumptions.

03

Scenario evaluation

Test development cases with explicit assumptions such as reactivation, workovers, recompletion and new wells.

04

Intervention and opportunity screening

Review event timelines and screen reservoir opportunities using linked operational and document evidence.

05

Integrated reporting

Prepare technical and management reports with traceable charts, maps, summaries and exportable data packs.

WHY IT MATTERS

From scattered field data to structured technical decisions

ReservoirIntel helps reservoir teams turn field data into forecasts, development scenarios and traceable opportunity assessments while keeping engineering judgement central to final decisions.

SurveillancePerformance review, injection behaviour and pressure support
PlanningForecasts and scenario comparisons with documented assumptions
TraceabilityOperational, reservoir and document evidence in one workflow
CONTACT

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