Oil and gas software: a map by upstream and trading workflow

Organize by decision, not by vendor

Oil and gas software is a crowded category because the industry runs on many separate decisions: where to drill, how to complete a well, how to keep it producing, how to account for every barrel and molecule, how to sell production, and how to value the result. Lists of vendors rarely help, because a single company can sell products in several of those areas and a single area can involve both a specialist application and a general data platform. A workflow map is more useful. It shows which system owns each decision and where data moves between systems.

BTU Graph groups the software it covers into six workflows: subsurface evaluation and reserves economics, drilling and completions operations, production operations and artificial lift, land and hydrocarbon accounting, trading and risk, and industrial data platforms. The examples below come from company and product profiles in the directory, and each profile links to the public evidence behind its description.

Reserves, forecasting, and economics

Reserves and economics software turns production history and development plans into forecasts, cash flows, and reserve volumes. ComboCurve is a cloud platform for forecasting, type curves, economics, and reserves in one upstream workflow. PHDwin provides decline-curve analysis and petroleum economics on a Microsoft SQL foundation. ARIES, from Halliburton Landmark, is an enterprise petroleum economics, property data, and reserves product. Enverus PRISM combines Enverus data with forecasting, inventory, mapping, and scenario workflows for development planning. Novi Labs adds machine-learning production forecasts built on well-level data.

These systems differ in operating model, from a Windows and SQL application to browser-first cloud platforms, and in how they govern assumptions. Every one of them depends on price inputs it does not produce itself. The price-deck workflow on BTU Graph explains how benchmark prices, differentials, and scenario cases should be governed before they reach an economic model.

Selection usually turns on three questions. First, how does the system represent ownership, working interests, and royalties, since economics are only as accurate as the interest data behind them. Second, can a reviewer reproduce a prior result with the exact forecast, deck, and cost assumptions used at the time. Third, how does the system exchange data with accounting, land, and corporate planning tools. A platform that forecasts quickly but cannot export a traceable decision record will create work for reserves auditors and finance teams later, and that cost rarely appears in a product demonstration.

Drilling, production, and accounting

Drilling and completions software works in real time. Corva provides applications and analytics for drilling, completions, wireline, and drillout operations, with APIs that let operators build their own applications on its data. The evaluation questions are latency, how well data is mapped to the correct well context, who owns alerts, and where guidance stops and equipment control begins.

Production operations software keeps wells online and optimized. Ambyint applies physics-informed machine learning to rod lift, plunger lift, and electric submersible pumps, which means its value depends on reliable SCADA connections and an explicit boundary between automated actions and operator oversight. Land, measurement, and hydrocarbon accounting form a separate layer: Quorum Software offers applications spanning upstream planning, reserves, production, accounting, land, measurement, midstream, pipelines, and LNG, and buyers should evaluate the named application rather than assume portfolio-wide capability.

Accounting systems matter to every other category because they hold the volumes and interests that define who is owed what. Production allocated at the meter flows into revenue distribution, joint-interest billing, and severance tax, and the same volumes later reconcile against forecasts in reserves software. When forecasts, field data, and accounting disagree, the gap usually traces to a missing or delayed handoff rather than a calculation error, so integration testing should follow a single well's volumes from the field through allocation to the ledger and back into the economic model.

Trading, risk, and data platforms

Once production is sold, trading and risk software takes over. ION RightAngle covers liquid hydrocarbons from trade capture through scheduling, inventory, accounting, and tax. ION Allegro covers power, natural gas, liquids, and environmental products. Molecule offers cloud-native ETRM for valuation, P&L, and risk. Producers often need only part of this stack, such as hedge management, and the BTU Graph guide on ETRM and CTRM software explains how to scope that choice.

Industrial data platforms sit underneath. Cognite Data Fusion integrates operational, IT, and engineering data and adds context so that analytics and AI applications can use it. Data and analytics providers such as Enverus and Novi Labs supply external well, market, and modeled data. The governance question is the same at every layer: which system is the source of record, which is a consumer, and how are transformations recorded when data moves between them. Market prices are a common example. Oil Price API, the publisher of BTU Graph, supplies benchmark price series at that data boundary, while the systems above remain responsible for forecasts, accounting, and risk.

This guide is editorial research, not a ranking or procurement endorsement. Companies and products are described from public evidence, inclusion does not imply a commercial relationship, and capabilities change. Confirm current scope, security, and commercial terms directly with each provider.