Reservoir Management and Production Optimisation

Evaluates many existing wells at once with subsurface and nearby-well data to slow natural production decline, and optimises well stimulation.

tabular time seriesunverified

0named models

100candidates

2deployments

2in Indonesia

Named Models

The research names no model for this use case.

Where this comes from

Models the research names for this use case. Research, with sources on each model record.

Who Runs It

production, 1pilot, 1

PT Pertamina Hulu Rokan (Minas field)Country: IndonesiaVENUS AI expert system (from e-MARS) evaluating many existing wells at once with subsurface and nearby-well dataVendor: Pertamina Hulu Rokan (in-house)productionDate26 Aug 2024Production decline at Minas from 11 to 6 percent a year; Rp200 billion from 150 wells (company-reported); Bangko-Balam plannedEvidence: company statementConfidence: lowSource: industri.kontan.co.id, finance.detik.com

PT Pertamina Hulu Rokan (Duri field)Country: IndonesiaAl-Chemist 2.0 for chemical well stimulation efficiencyVendor: Pertamina Hulu Rokan (in-house)pilotDate7 Jul 2026Implementation category winner, IOC Digital Hackathon AI/ML Hulu Migas 2026Evidence: company statementConfidence: lowSource: investortrust.id, finance.detik.com, kompas.tv

Where this comes from

Documented uses by named organisations. The evidence column says who made the claim.

Candidate Models

TabArena: All Tasks, no imputation, snapshot 2026-05-06, 59 entries

A general benchmark for this model class, not a test on this use case. Elo across tabular tasks, anchored RandomForest default = 1000; TabPFN-lab researchers are involved. Higher is better. Elo has no zero, so the axis starts at 1,200. Showing 10 of 13.

AutoGluon 1.5Amazon maintainer-run1,700

TabPFN-2.6Prior Labs maintainer-run1,626

RealTabPFN-2.5Prior Labs maintainer-run1,604

TabICL v2INRIA maintainer-run1,598

RealMLPINRIA maintainer-run1,514

TabDPTLayer 6 AI maintainer-run1,460

TabMYandex maintainer-run1,448

LightGBMMicrosoft AI maintainer-run1,435

CatBoostYandex maintainer-run1,418

XGBoostDMLC community maintainer-run1,376

1,2001,5001,800

TimesFM 3.0Google, time seriesReleasedAug 2026open weightshas scoreslast 18 months

XGBoostDMLC community, tabularReleasedAug 2026open weightshas scoreslast 18 months

LightGBMMicrosoft AI, tabularReleasedJul 2026open weightshas scoreslast 18 months

Toto 2.0 1BDatadog, time seriesReleasedJun 2026open weightshas scoreslast 18 months

Toto 2.0 2.5BDatadog, time seriesReleasedJun 2026open weightshas scoreslast 18 months

Toto 2.0 313MDatadog, time seriesReleasedJun 2026open weightshas scoreslast 18 months

TabPFN-2.6Prior Labs, tabularReleasedMar 2026open weightshas scoreslast 18 months

Granite PatchTST-FM r1IBM, Rensselaer Polytechnic Institute, time seriesReleasedMar 2026open weightshas scoreslast 18 months

CatBoostYandex, tabularReleasedFeb 2026open weightshas scoreslast 18 months

AutoGluon 1.5Amazon, tabularReleased2026open weightshas scoreslast 18 months

Showing 10 of 100. All models of this class

Where this comes from

Derived, not researched: models in the directory whose class matches a class this use case uses, excluding family records and models shut down or deprecated. Ranked by how many fit facts they meet, then by release date. Each fit fact is read from the model record.

Use Case

Industry: energy and mining
Model classes: tabulartime seriesunverified
Benchmarks or datasets: not in the notes
Regulatory notes: Surat Edaran Menkominfo 9/2023 Etika Kecerdasan Artifisial, Kementerian Komunikasi dan Informatika (now Kementerian Komunikasi dan Digital)Reservoir management and production optimisation is an AI-based service run by an electronic system operator, and the circular asks such operators to build and use AI on the values of inclusivity, transparency, humanity and security.
UU 22/2001 Minyak dan Gas Bumi, DPR and President of the Republic of Indonesia (administered by Kementerian ESDM)Reservoir management and production optimisation supports upstream oil and gas activity, which this law governs through cooperation contracts and state ownership of exploration and production data.

Where this comes from

From the industry tracks T08 to T10 of the research notes.

R&D Topics

Links to R&D topics are awaiting review.

Where this comes from

Which R&D topics would most change this use case. Drafted by Claude from the topic definitions and the use case; proposed until approved.

Opportunities

Opportunities are awaiting review.

Where this comes from

Gaps found by rule in what the directory holds for this use case. Each is a proposal for review.

Links

IndustryEnergy and Mining15 use cases, 17 deployments

Use CaseReservoir Management and Production OptimisationEnergy and Mining

Modelsnone recorded

Who Runs It

PT Pertamina Hulu Rokan (Duri field)Pilot, 7 Jul 2026

PT Pertamina Hulu Rokan (Minas field)In production, 26 Aug 2024

Graph

Deployments 2

PT Pertamina Hulu Rokan (Duri field)Al-Chemist 2.0 for chemical well stimulation efficiency, Indonesia PT Pertamina Hulu Rokan (Minas field)VENUS AI expert system (from e-MARS) evaluating many existing wells at once with subsurface and nearby-well data, Indonesia

Sources

industri.kontan.co.id/news/kurangi-penurunan-produksi-pertamina-hul... https://industri.kontan.co.id/news/kurangi-penurunan-produksi-pertamina-hulu-rokan-kelola-lapangan-migas-menggunakan-ai
investortrust.id/business/108746/hackathon-ai-hulu-migas-2026-... https://investortrust.id/business/108746/hackathon-ai-hulu-migas-2026-hasilkan-potensi-nilai-ekonomi-rp-4-67-triliun
rri.co.id/en/technology/2441184/pertamina-builds-up-ai-... https://rri.co.id/en/technology/2441184/pertamina-builds-up-ai-transformation-across-energy-operations

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Reservoir Management and Production Optimisation", https://aurion.semai.id/usecases/em-reservoir-production-optimisation/, records of October 2026.