{ "edition": "2026-10-10", "method": "An editorial comparison of twelve selected profiles already in the Sunya register. Categories describe the action authority established by the selected sources, not safety certification or a maturity score. Evaluation ideas are Sunya proposals, not company plans, buying intent or measured returns.", "cases": [ { "id": "AI-006", "company": "Devon Energy", "name": "Artificial lift", "workflow": "Wells", "authority": "act", "population": "1,000 wells by August 2026, including first legacy Coterra wells.", "action": "Closed-loop software adjusts lift settings in real time, 24/7.", "result": "2–3% production gain in the earlier 2025 gas-lift pilot. This is not a result for the later 1,000-well fleet.", "period": "Pilot: 2025; rollout counts: March–August 2026.", "baseline": "The source reports a pilot gain but does not give a controlled comparison for the expanded fleet.", "origin": "Operator earnings-call disclosures", "limits": "The eligible-well denominator, later lift-type mix, fleet-wide benefit and detailed control limits are not disclosed.", "replicate": "Start with a defined lift population, reliable well measurements and existing control access. Establish which changes require an engineer’s approval.", "metric": "Incremental production, energy use and intervention cost per eligible well, against an agreed baseline.", "owner": "Production engineering and field operations", "provider": "Test an assistant that explains controller exceptions and follows up on unresolved well problems. Keep equipment control in the tested specialist system.", "stop": "Stop expansion if gains disappear in comparable wells, intervention work rises or control limits cannot be enforced.", "sources": [ "SW8-001", "FU001" ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources.", "stage": "scaled", "source_date": "2026-08-05", "source_details": [ { "Source_ID": "SW8-001", "Title": "Devon Energy — deployment evidence", "URL": "https://s2.q4cdn.com/462548525/files/doc_financials/quarterly/2026/q2/Q2-2026-DVN-Q-A-Webcast-Commentary-Transcript.pdf", "Source_date": "2026-08-05", "Source_type": "Operator", "Locator": "Devon’s operator-hosted Q2 2026 transcript (2026-08-05) says its closed-loop AI system autonomously optimized 1,000 wells in real time, 24/7; management said 200 wells in March and a path to broad deployment across >2,000 additional Permian wells, including first legacy Coterra wells. This supersedes the Q1 count of >850.", "Verification": "Relevant source passages reviewed", "Accessed": "2026-10-04" }, { "Source_ID": "FU001", "Title": "Devon Q1 2026 earnings call — Smart Gas Lift", "URL": "https://s2.q4cdn.com/462548525/files/doc_financials/quarterly/2026/q1/Q1-2026-DVN-Q-A-Webcast-Commentary-Transcript.pdf", "Source_date": "2026-05-06", "Source_type": "Issuer-hosted earnings transcript", "Locator": "Prepared remarks p. 4; Q&A pp. 12–14; 21 October additional locator: PDF and printed p. 4; Clay Gaspar prepared remarks, three waves of AI", "Verification": "Issuer-hosted corrected 20-page transcript retrieved HTTP200. Editor read relevant p.4 and visually inspected it; management claims, not independent performance validation. Earlier claim reviews retain their original scope.", "Accessed": "2026-10-21" } ] }, { "id": "AI-284", "company": "BPX Energy", "name": "Daily lift recommendations", "workflow": "Wells", "authority": "recommend", "population": "441-well Permian pilot; the number of wells adopting recommendations is not disclosed.", "action": "A digital solution recommends daily lift changes; people decide whether to adopt them.", "result": "6% average oil increase on wells adopting recommendations. Gas-lift utilization improved by more than 20%, a separate measure.", "period": "2026 paper; the abstract does not establish the result’s measurement period.", "baseline": "The result applies to recommendation adopters, with no matched untreated group disclosed in the abstract.", "origin": "Operator/vendor-coauthored paper", "limits": "Do not apply the 6% to all 441 wells. Adoption selection and the oil-result denominator remain unresolved.", "replicate": "Log every recommendation, adoption decision and reason for rejection. Compare eligible adopters and non-adopters before expanding.", "metric": "Production change and net operating benefit per eligible well, including recommendations people decline.", "owner": "Production engineering", "provider": "Test whether explanations, evidence gathering and follow-up improve recommendation acceptance without increasing review time.", "stop": "Stop if the apparent gain depends on cherry-picked adopters or engineers cannot trace a recommendation to the well data.", "sources": [ "OCT10-AI-284-SWPSC" ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources.", "stage": "pilot", "source_date": "2026", "source_details": [ { "Source_ID": "OCT10-AI-284-SWPSC", "Title": "Daily lift recommendations across a 441-well Permian pilot", "URL": "https://www.swpshortcourse.org/paper/2026051-pilot-test-continuous-production-optimization-using-digital-solution-permian-basin", "Source_date": "2026", "Source_type": "Operator/vendor-coauthored technical paper", "Locator": "SWPSC 2026051 abstract: method, 441-well asset and reported results", "Verification": "Relevant original source text reviewed; performance remains author-reported, not independently validated.", "Accessed": "2026-10-10" } ] }, { "id": "AI-285", "company": "Burk Royalty", "name": "Pump by exception", "workflow": "Wells", "authority": "act", "population": "One West Texas lease. Full paper: five producers and one injector; abstract: six producers and one injector.", "action": "Integrated sensing, analytics and pump control shift work toward exceptions. People remain part of the operating process.", "result": "Electricity expense fell from $660 to $376 per well per month; field time fell from 126 to 18 hours per month.", "period": "Eight-month case; published in 2026.", "baseline": "Before/after account of an integrated operating change. It does not isolate the AI component.", "origin": "Operator/vendor-coauthored paper", "limits": "The sources conflict on well count. The paper’s profit and payback estimates do not establish full-cost net return.", "replicate": "Reconcile the asset list, meter energy, record field time and capture installation, service and maintenance costs.", "metric": "Electricity and field labor per producing well-month, alongside production and equipment condition.", "owner": "Field operations and production engineering", "provider": "Test an exception work queue that explains why a visit is needed and records what crews found. Hardware, telemetry and pump control remain necessary.", "stop": "Stop if fewer visits hide equipment problems, production deteriorates or savings disappear after service and support costs.", "sources": [ "OCT10-BURK-PDF", "OCT10-AI-285-SWPSC" ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources.", "stage": "operating", "source_date": "2026", "source_details": [ { "Source_ID": "OCT10-BURK-PDF", "Title": "Field Optimization Reimagined: full paper", "URL": "https://www.swpshortcourse.org/sites/default/files/papers/2026052%20-%20Field%20Optimization%20Reimagined%20Data%20At%20The%20Core%20Exceptions%20At%20The%20Center%2C%20People%20In%20Control.pdf", "Source_date": "2026", "Source_type": "Operator/vendor-coauthored technical paper", "Locator": "PDF pp. 3, 7–9; figure on p. 8", "Verification": "Relevant original source text reviewed; performance remains author-reported, not independently validated.", "Accessed": "2026-10-10" }, { "Source_ID": "OCT10-AI-285-SWPSC", "Title": "Pump-by-exception monitoring and control at a West Texas lease", "URL": "https://www.swpshortcourse.org/paper/2026052-field-optimization-reimagined-data-core-exceptions-center-people-control", "Source_date": "2026", "Source_type": "Operator/vendor-coauthored technical paper", "Locator": "SWPSC 2026052 abstract; linked full paper PDF pp. 3, 7–9 (site configuration, eight-month results, economics and projections)", "Verification": "Relevant original source text reviewed; performance remains author-reported, not independently validated.", "Accessed": "2026-10-10" } ] }, { "id": "AI-286", "company": "Expand Energy", "name": "Liquid unloading", "workflow": "Wells", "authority": "act", "population": "Nine Haynesville wells across eight pads.", "action": "An edge controller adjusts shut-in duration and choke settings locally.", "result": "Reported cumulative gas increases of 70–139% over 63–83 days. More than 80 MMscf per well per year is an estimate.", "period": "63–83 days for the reported cumulative-gas comparison.", "baseline": "The published comparison is short and supplier-reported; underlying well data and independent validation are not available.", "origin": "Operator/vendor paper and supplier-authored JPT account", "limits": "The percentage is not an annual result. It concerns liquid-loading wells, not all gas wells.", "replicate": "Identify comparable liquid-loading wells, preserve pressure and flow histories, and agree shut-in/choke limits and fallback procedures.", "metric": "Cumulative gas over the same calendar period, including downtime, intervention and controller costs.", "owner": "Production engineering and automation", "provider": "Test a readable unloading history and an assistant for recurring exceptions. A language model should not replace the local controller.", "stop": "Stop if more gas comes at unacceptable pressure, equipment or operating risk, or the benefit does not persist.", "sources": [ "OCT10-AI-286-SWPSC", "OCT10-EXPAND-JPT" ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources.", "stage": "operating", "source_date": "2026-07-01", "source_details": [ { "Source_ID": "OCT10-AI-286-SWPSC", "Title": "Autonomous liquid unloading on nine Haynesville gas wells", "URL": "https://www.swpshortcourse.org/paper/2026001-autonomous-edge-based-optimization-liquid-loading-intermittent-gas-wells", "Source_date": "2026", "Source_type": "Operator/vendor-coauthored technical paper", "Locator": "SWPSC 2026001 abstract; JPT 1 July 2026, Haynesville Field Results", "Verification": "Relevant original source text reviewed; performance remains author-reported, not independently validated.", "Accessed": "2026-10-10" }, { "Source_ID": "OCT10-EXPAND-JPT", "Title": "Edge Computing and IIoT Enable Autonomous Artificial Lift and Well Optimization", "URL": "https://jpt.spe.org/case-study-edge-computing-and-iiot-enable-autonomous-artificial-lift-and-well-optimization-across-multi-basin-deployments", "Source_date": "2026-07-01", "Source_type": "Supplier-authored technical account", "Locator": "Field Results: Haynesville Basin", "Verification": "Relevant original source text reviewed; performance remains author-reported, not independently validated.", "Accessed": "2026-10-10" } ] }, { "id": "AI-141", "company": "Aramco", "name": "Fadhili process control", "workflow": "Plants", "authority": "act", "population": "Acid-gas removal at Fadhili Gas Plant.", "action": "Reinforcement learning with Yokogawa makes ongoing process adjustments.", "result": "Reported 10–15% lower amine and steam consumption and about 5% lower power use.", "period": "Pilot October 2024–April 2025; company says permanent adoption followed.", "baseline": "Company-reported consumption reduction; detailed evaluation design is not disclosed.", "origin": "Operator technology account", "limits": "One plant. Operating envelope, interlocks, full costs and repeatability at other plants are not described.", "replicate": "Confirm process comparability, instrument quality, product specifications and the allowed control envelope before any trial.", "metric": "Steam, amine and power per unit of on-spec output, adjusted for throughput and feed conditions.", "owner": "Process engineering and plant operations", "provider": "Help operators investigate deviations and retrieve operating procedures around the specialist controller. Validate any proposed action against plant rules.", "stop": "Stop if quality, stability or safety performance worsens, or consumption gains depend on changed feed or throughput.", "sources": [ "RS015" ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources.", "stage": "operating", "source_date": "Undated; accessed 2026-09-27", "source_details": [ { "Source_ID": "RS015", "Title": "Aramco AI and Big Data", "URL": "https://www.aramco.com/en/what-we-do/energy-innovation/digitalization/ai-and-big-data", "Source_date": "Undated; accessed 2026-09-27", "Source_type": "company announcement", "Locator": "Fadhili Gas Plant section", "Verification": "full text reviewed", "Accessed": "2026-09-27" } ] }, { "id": "AI-202", "company": "ConocoPhillips", "name": "Montney surveillance", "workflow": "Wells", "authority": "unknown", "population": "Montney deployment described in an IOCaaS technical case. Asset denominator is not disclosed.", "action": "Surveillance supports artificial lift, hydrate risk and compressor operation. The account does not establish control authority.", "result": "3–4% production above forecast and about 5% lower lease operating expense. A 6% improvement is prospective.", "period": "Four-month deployment followed by four months of operations in the reported account.", "baseline": "Production versus forecast; detailed forecast construction and the expense comparison are not disclosed.", "origin": "Vendor-authored technical account", "limits": "Above forecast is not a controlled uplift. No new hardware does not mean no implementation or service cost.", "replicate": "Verify SCADA and historian readiness, forecast construction, asset coverage and who approves each operating change.", "metric": "Production versus a frozen forecast, with matched operating conditions and all service and labor costs.", "owner": "Production engineering and operations technology", "provider": "Test investigation and follow-up across surveillance alerts. Establish how it fits existing operator and vendor workflows before proposing automation.", "stop": "Stop if the forecast baseline keeps changing or recommendations create more unplanned work than they remove.", "sources": [ "FU003" ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources.", "stage": "pilot", "source_date": "2026-04-01", "source_details": [ { "Source_ID": "FU003", "Title": "Field deployments of AI-based IOCaaS", "URL": "https://jpt.spe.org/case-study-field-deployments-of-ai-based-iocaas-advancing-artificial-lift-and-flow-assurance", "Source_date": "2026-04-01", "Source_type": "Vendor-authored technical case article", "Locator": "Kaybob and Montney deployment sections; integration and measurement-period paragraphs", "Verification": "Full vendor-authored JPT article rechecked 6 October 2026", "Accessed": "2026-10-18" } ] }, { "id": "AI-215", "company": "Occidental", "name": "Routeless field work", "workflow": "Field work", "authority": "recommend", "population": "About 40% of onshore production by August 2025; this is not a share of wells.", "action": "Sensors, automation and AI support exception-based visits. People perform field work.", "result": "Reported reach; no isolated AI savings, route-hour result or production uplift disclosed.", "period": "August 2025 disclosure; outcome measurement period not supplied.", "baseline": "No route-level before/after comparison disclosed in the selected transcript.", "origin": "Operator earnings-call transcript", "limits": "The contribution of AI is not separated from sensors and automation. Dispatch logic and overrides are not described.", "replicate": "Define visit triggers, missed-event checks, crew coverage and the reliability of remote measurements.", "metric": "Unnecessary visits avoided, missed issues, travel hours and total field cost per comparable asset.", "owner": "Field operations", "provider": "Test an assistant that assembles visit context, assigns follow-up with approval and checks whether a problem was resolved.", "stop": "Stop if missed issues or repeat visits rise, even when route hours fall.", "sources": [ "SW2-003" ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources.", "stage": "scaled", "source_date": "2025-08-07", "source_details": [ { "Source_ID": "SW2-003", "Title": "Occidental Q2 2025 Earnings Call Transcript", "URL": "https://www.oxy.com/siteassets/documents/investors/quarterly-earnings/oxy2q25transcript.pdf", "Source_date": "2025-08-07", "Source_type": "Issuer-hosted earnings-call transcript", "Locator": "Page 3, Vicki Hollub prepared remarks", "Verification": "Full 17-page company-hosted transcript reviewed.", "Accessed": "2026-09-29" } ] }, { "id": "AI-226", "company": "ADNOC", "name": "Rig fleet oversight", "workflow": "Drilling", "authority": "recommend", "population": "More than 120 onshore and offshore rigs.", "action": "Engineers oversee and decide, using an AI operations center and SLB DrillOps on a sovereign cloud.", "result": "Company reports 30–40% less engineering effort and two to three times as many rigs overseen per engineer.", "period": "August 2026 disclosure; measurement period and engineering-effort baseline not detailed.", "baseline": "Company comparison; underlying effort measures and incident frequency are not supplied.", "origin": "Operator press release", "limits": "This establishes fleet oversight, not autonomous rig control. Downtime claims are not a recurring annual benefit.", "replicate": "Standardize rig data and incident definitions; preserve escalation ownership and test the workload at comparable rig complexity.", "metric": "Engineer time per comparable rig, response time, repeat incidents and downtime with consistent definitions.", "owner": "Drilling operations and engineering", "provider": "Test cross-rig incident investigation and follow-up. Establish access boundaries and compatibility with the existing SLB workflow.", "stop": "Stop if larger oversight loads delay escalations or hide differences in rig complexity.", "sources": [ "SW3-004" ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources.", "stage": "scaled", "source_date": "2026-08-04", "source_details": [ { "Source_ID": "SW3-004", "Title": "ADNOC and SLB Deploy AI Platform Across Over 120 Drilling Rigs to Strengthen Upstream Performance", "URL": "https://www.adnoc.ae/en/news-and-media/press-releases/2026/adnoc-and-slb-deploy-ai-platform-across-over-120-drilling-rigs-to-strengthen-upstream-performance/", "Source_date": "2026-08-04", "Source_type": "Operator press release", "Locator": "Release body: paragraphs on RTOC deployment, workflow, operating scope and reported metrics", "Verification": "Full primary release opened and read; release body reviewed in full.", "Accessed": "2026-09-30" } ] }, { "id": "AI-054", "company": "QB Energy / Quantum", "name": "Pad and well planning", "workflow": "Planning", "authority": "recommend", "population": "A 20,000-acre scenario; sponsor describes use across 12 areas over nine months.", "action": "A numerical solver selects pad and well plans under engineering constraints; an assistant explains them. Engineers review the plans.", "result": "Microsoft reports a 20-minute scenario versus three weeks. The roughly $10bn development program informed is not savings.", "period": "Scenario comparison; sponsor describes nine months of use.", "baseline": "Vendor-reported time comparison. Equal plan quality and full labor requirements are not independently established.", "origin": "Vendor customer story and sponsor report", "limits": "The solver and assistant have different roles. Faster planning does not establish better capital returns.", "replicate": "Prepare terrain, lease, spacing, infrastructure and cost constraints. Have engineers check feasible alternatives and economic assumptions.", "metric": "Time to an engineer-approved feasible plan, constraint violations and economics under the same assumptions.", "owner": "Development planning and reservoir engineering", "provider": "Test explanations, constraint capture and scenario follow-up around the existing optimization solver. Do not replace the solver with a language model.", "stop": "Stop if faster plans omit constraints or reviewers cannot reproduce the economic assumptions.", "sources": [ "OCT5-S032", "OCT9-QCG-2026" ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources.", "stage": "operating", "source_date": "2026-04-30", "source_details": [ { "Source_ID": "OCT5-S032", "Title": "Geospatial field planning for an unnamed Quantum portfolio operator", "URL": "https://www.microsoft.com/en/customers/story/26476-quantum-capital-group-azure-app-service", "Source_date": "2026-04-30", "Source_type": "Microsoft customer story", "Locator": "Field development planning solution; Improved speed, scale, and precision; updated algorithm paragraph", "Verification": "Full original Microsoft customer story read again on 21 October. Updated-version comparison is vendor-reported; no independent validation.", "Accessed": "2026-10-21" }, { "Source_ID": "OCT9-QCG-2026", "Title": "Quantum 2026 Stakeholder Report", "URL": "https://www.quantumcap.com/wp-content/uploads/2026/08/QCG-2026-ESG-Stakeholder-Report.pdf", "Source_date": "2026", "Source_type": "Sponsor stakeholder report", "Locator": "Pages 11–15; page 68 disclaimer", "Verification": "Relevant primary sections reviewed", "Accessed": "2026-10-09" } ] }, { "id": "AI-276", "company": "Vickery Energy / Quantum", "name": "Land-title research", "workflow": "Knowledge & land", "authority": "retrieve", "population": "Sponsor account: 640 parcels and 9,520 documents in West Virginia.", "action": "Azure OpenAI and document recognition help trace ownership and heirship. Difficult records go to people.", "result": "About 40 hours versus an estimated 40 business days; Microsoft describes roughly 10,000 documents.", "period": "A reported document-processing run; recurring production throughput is not established.", "baseline": "Estimated manual comparison, not a controlled trial with a published accuracy benchmark.", "origin": "Vendor customer story and sponsor report", "limits": "Processing speed does not establish legal correctness. Accuracy, full costs and replacement of title opinions are not established.", "replicate": "Build a legally reviewed reference set that includes difficult handwriting, conflicting chains and missing documents.", "metric": "Correct ownership conclusions, missed exceptions, human review time and cost per accepted parcel.", "owner": "Land and legal", "provider": "Test cited document-to-ownership research with explicit abstention and review queues. A legal professional must determine acceptable use.", "stop": "Stop if faster processing conceals ownership errors or unsupported conclusions.", "sources": [ "OCT5-S028", "OCT9-QCG-2026" ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources.", "stage": "operating", "source_date": "2026-04-30", "source_details": [ { "Source_ID": "OCT5-S028", "Title": "Land-title research at an unnamed Quantum portfolio company", "URL": "https://www.microsoft.com/en/customers/story/26476-quantum-capital-group-azure-app-service", "Source_date": "2026-04-30", "Source_type": "Microsoft customer story", "Locator": "From the field to the back office and beyond — land-title research paragraphs", "Verification": "Original land-title passage reopened 10 October 2026; prior full-document review 6 October 2026. Results remain vendor-reported.", "Accessed": "2026-10-10" }, { "Source_ID": "OCT9-QCG-2026", "Title": "Quantum 2026 Stakeholder Report", "URL": "https://www.quantumcap.com/wp-content/uploads/2026/08/QCG-2026-ESG-Stakeholder-Report.pdf", "Source_date": "2026", "Source_type": "Sponsor stakeholder report", "Locator": "Pages 11–15; page 68 disclaimer", "Verification": "Relevant primary sections reviewed", "Accessed": "2026-10-09" } ] }, { "id": "AI-074", "company": "Chevron", "name": "ApEX exploration search", "workflow": "Knowledge & land", "authority": "retrieve", "population": "More than one million files, about 4 TB, spanning maps, logs, seismic and reports.", "action": "Specialized agents retrieve information for explorationists; experts retain prospect and economic judgment.", "result": "A searchable corpus and retrieval capability. No quantified exploration outcome or financial benefit disclosed.", "period": "Launched August 2024; company account November 2025.", "baseline": "No comparable-task accuracy, time or discovery-success baseline disclosed.", "origin": "Operator technology account", "limits": "Corpus size is not a return. Finding a document does not establish the quality of an exploration decision.", "replicate": "Confirm permissions, document lineage and the ability to retrieve maps and technical evidence with precise citations.", "metric": "Evidence completeness, retrieval accuracy and expert time on a fixed set of exploration questions.", "owner": "Exploration and geoscience", "provider": "Test source-grounded synthesis across technical formats, with traceable uncertainty and an expert review step.", "stop": "Stop if key evidence is missed, citations do not support answers or access controls fail.", "sources": [ "RS001" ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources.", "stage": "operating", "source_date": "2025-11-12", "source_details": [ { "Source_ID": "RS001", "Title": "A smarter way to prospect for oil and gas — Chevron ApEX", "URL": "https://www.chevron.com/newsroom/2025/q4/a-smarter-way-to-prospect-for-oil-and-gas", "Source_date": "2025-11-12", "Source_type": "company announcement", "Locator": "How does ApEX work? / Advantages in exploration", "Verification": "full text reviewed", "Accessed": "2026-09-27" } ] }, { "id": "AI-089", "company": "EOG Resources", "name": "Internal production optimizer", "workflow": "Wells", "authority": "unknown", "population": "Base-production optimization in EOG’s 2025 annual-report account; well count not disclosed.", "action": "A proprietary machine-learning optimizer supports production work. Exact actuation and human approval steps are not disclosed.", "result": "No isolated AI-attributed numerical result in this profile. August 2026’s 5% Utica improvement is operating context.", "period": "Annual report covers 2025; later Utica context comes from August 2026.", "baseline": "An AI-only baseline and measurement period are not established.", "origin": "Operator annual report; separate investor-deck context", "limits": "Do not credit the Utica figure or broader well-cost improvements to the optimizer. Internal software capability does not prove better AI returns.", "replicate": "Map the internal engineering tools, data access and actual approval workflow before deciding what to build or buy.", "metric": "Engineer-approved improvements against a stable baseline, with model and human interventions recorded.", "owner": "Production engineering and internal software team", "provider": "Find a workflow the internal team wants to extend; test an assistant around existing tools. Do not assume EOG wants to replace them.", "stop": "Stop if attribution remains impossible or the proposed tool duplicates a working internal system.", "sources": [ "OCT5-S034", "OCT10-EOG-UTICA" ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources.", "stage": "operating", "source_date": "2026 annual report covering 2025; exact publication day not confirmed", "source_details": [ { "Source_ID": "OCT5-S034", "Title": "Proprietary machine-learning production optimizer", "URL": "https://filecache.investorroom.com/mr5ir_eogresources2/462/2025_EOG_Annual_Report.pdf", "Source_date": "2026 annual report covering 2025; exact publication day not confirmed", "Source_type": "Operator annual report", "Locator": "PDF page 4, shareholder letter: Consistent Operational Excellence Compounds Over Time", "Verification": "full text reviewed", "Accessed": "2026-10-06" }, { "Source_ID": "OCT10-EOG-UTICA", "Title": "EOG August 2026 investor presentation", "URL": "https://investors.eogresources.com/image/EOG_0826.pdf", "Source_date": "2026-08-04", "Source_type": "Operator investor presentation", "Locator": "Printed slide 14: Outstanding Utica Performance", "Verification": "Original issuer deck reviewed; attachment indexed 4 August 2026 ahead of 5 August call.", "Accessed": "2026-10-10" } ] } ] }