{ "edition": "2026-10-25", "title": "What changes when AI becomes part of the work?", "lede": "Oil and gas has moved beyond AI announcements. Some systems adjust equipment. Others change how people plan, investigate and visit the field. The useful question is which part of the work improves—and whether the benefit survives outside the pilot.", "takeaways": [ { "title": "Start with the operating decision.", "text": "Devon changes lift settings. Oxy changes field attention. ADNOC changes rig oversight. These are different operating choices, even when all three are described as AI.", "ids": [ "AI-006", "AI-215", "AI-226" ] }, { "title": "Give each tool a clear job.", "text": "QB’s planning tool separates a numerical solver from the assistant that explains its output. Vickery uses document models to work through land records. A language model’s useful role depends on the task.", "ids": [ "AI-054", "AI-276" ] }, { "title": "Copy the measurement plan, too.", "text": "A rollout count, time saved and a production gain answer different questions. Before repeating a project, agree the eligible assets, comparison, review work and complete cost.", "ids": [ "AI-006", "AI-284", "AI-285", "AI-286" ] } ], "workflows": [ { "id": "AI-006", "label": "Wells / Devon", "input": "Live well measurements", "engine": "Specialist lift optimization and control", "language": "No language-model role established in the selected disclosure.", "person": "Operating and override responsibilities need more detail.", "next": "Help engineers investigate exceptions and follow unresolved problems. Keep equipment control in the specialist system.", "question": "Does the pilot gain persist across the expanded fleet, after intervention and support costs?", "evidence": { "company": "Devon Energy", "name": "Artificial lift", "stage": "scaled", "source_date": "2026-08-05", "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.", "sources": [ "SW8-001", "FU001" ], "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" } ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources." }, "profile_url": "https://energyai.sunya.ai/#initiative=AI-006", "logo": "../assets/devon_energy.png", "logo_dark": true, "logo_class": "on-dark" }, { "id": "AI-215", "label": "Field work / Oxy", "input": "Well data and exception signals", "engine": "Sensors, automation and AI support routeless work", "language": "No language-model role established in this operating disclosure.", "person": "Field crews respond to the wells needing attention.", "next": "Assemble the history behind an exception, coordinate a response and check what happened.", "question": "Does exception-led work reduce avoidable visits without adding missed problems or review burden?", "evidence": { "company": "Occidental", "name": "Routeless field work", "stage": "scaled", "source_date": "2025-08-07", "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.", "sources": [ "SW2-003" ], "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" } ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources." }, "profile_url": "https://energyai.sunya.ai/#initiative=AI-215", "logo": "../assets/occidental.png", "logo_dark": false, "logo_class": "" }, { "id": "AI-226", "label": "Drilling / ADNOC", "input": "Live information across the rig fleet", "engine": "A shared remote drilling operations platform", "language": "The selected release does not isolate a language-model contribution.", "person": "Engineers oversee operations and make decisions.", "next": "Prepare shift handovers and assemble evidence across rigs. Check every recommendation against the operating systems.", "question": "Does higher oversight capacity preserve decision quality and reduce costly downtime?", "evidence": { "company": "ADNOC", "name": "Rig fleet oversight", "stage": "scaled", "source_date": "2026-08-04", "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.", "sources": [ "SW3-004" ], "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" } ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources." }, "profile_url": "https://energyai.sunya.ai/#initiative=AI-226", "logo": "../assets/adnoc.png", "logo_dark": false, "logo_class": "" }, { "id": "AI-054", "label": "Planning / QB Energy", "input": "Terrain, candidate locations and engineering constraints", "engine": "Geospatial processing and a numerical planning solver", "language": "An embedded assistant explains optimization output.", "person": "Engineers review plans and trade-offs.", "next": "Track changed assumptions and prepare comparable scenarios for review. Test decision quality as well as speed.", "question": "Do faster scenarios lead to better approved plans, after constraint checks and engineering review?", "evidence": { "company": "QB Energy / Quantum", "name": "Pad and well planning", "stage": "operating", "source_date": "2026-04-30", "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.", "sources": [ "OCT5-S032", "OCT9-QCG-2026" ], "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" } ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources." }, "profile_url": "https://energyai.sunya.ai/#initiative=AI-054", "logo": "../assets/quantum_capital_group.png", "logo_dark": true, "logo_class": "on-dark" }, { "id": "AI-276", "label": "Land / Vickery", "input": "Scanned deeds, leases and conveyances", "engine": "Document recognition and structured extraction", "language": "Azure OpenAI reads records for ownership, heirship and lease availability.", "person": "Difficult records go to human review.", "next": "Trace each finding to the underlying record and route uncertain ownership chains for review.", "question": "What are the error, rework and legal-review costs on difficult records?", "evidence": { "company": "Vickery Energy / Quantum", "name": "Land-title research", "stage": "operating", "source_date": "2026-04-30", "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.", "sources": [ "OCT5-S028", "OCT9-QCG-2026" ], "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" } ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources." }, "profile_url": "https://energyai.sunya.ai/#initiative=AI-276", "logo": "../assets/quantum_capital_group.png", "logo_dark": true, "logo_class": "on-dark" }, { "id": "AI-141", "label": "Plants / Aramco", "input": "Gas-plant operating information", "engine": "Reinforcement learning within process control", "language": "No language-model role established in this plant-control account.", "person": "Detailed approval and override boundaries are not disclosed.", "next": "Explain process deviations and prepare maintenance or engineering follow-up, within existing plant procedures.", "question": "Do resource-intensity gains persist across feed conditions, after integration and operating costs?", "evidence": { "company": "Aramco", "name": "Fadhili process control", "stage": "operating", "source_date": "Undated; accessed 2026-09-27", "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.", "sources": [ "RS015" ], "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" } ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources." }, "profile_url": "https://energyai.sunya.ai/#initiative=AI-141", "logo": "../assets/aramco.png", "logo_dark": false, "logo_class": "" } ], "measurement_cases": [ { "id": "AI-006", "kind": "rollout", "title": "Separate rollout size from results.", "headline": "200 · 850+ · 1,000 wells", "meaning": "Devon’s reported rollout grew from March to August 2026. March is retrospective; May is a minimum. Later scope includes legacy Coterra wells.", "trap": "The earlier 2–3% gas-lift pilot gain does not establish the result across the later 1,000 wells.", "ask": "Ask for a fleet result, an eligible-well denominator and total intervention cost.", "evidence": { "company": "Devon Energy", "name": "Artificial lift", "stage": "scaled", "source_date": "2026-08-05", "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.", "sources": [ "SW8-001", "FU001" ], "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" } ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources." }, "profile_url": "https://energyai.sunya.ai/#initiative=AI-006" }, { "id": "AI-285", "kind": "before-after", "title": "Keep the units beside the improvement.", "headline": "660 to 376 dollars per well-month", "meaning": "Burk’s eight-month account reports lower electricity spending and field time falling from 126 to 18 hours per month.", "trap": "An integrated sensing, analytics and control system produced the reported changes. AI’s separate contribution and full costs are unresolved. Producer counts conflict between the paper and abstract.", "ask": "Ask for the baseline tariff, comparable production, full system costs and continued results.", "evidence": { "company": "Burk Royalty", "name": "Pump by exception", "stage": "operating", "source_date": "2026", "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.", "sources": [ "OCT10-BURK-PDF", "OCT10-AI-285-SWPSC" ], "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" } ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources." }, "profile_url": "https://energyai.sunya.ai/#initiative=AI-285" }, { "id": "AI-284", "kind": "adopters", "title": "The people who adopt may be different.", "headline": "6% average oil increase on adopters", "meaning": "BPX’s abstract describes a 441-well pilot, but the oil result concerns wells that adopted recommendations. The adopter count is not disclosed.", "trap": "Applying 6% to all 441 wells would change the population. The measurement period and matched comparison are not established in the abstract.", "ask": "Ask what happened on all eligible wells, including declined recommendations.", "evidence": { "company": "BPX Energy", "name": "Daily lift recommendations", "stage": "pilot", "source_date": "2026", "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.", "sources": [ "OCT10-AI-284-SWPSC" ], "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" } ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources." }, "profile_url": "https://energyai.sunya.ai/#initiative=AI-284" }, { "id": "AI-286", "kind": "duration", "title": "A short result is still a short result.", "headline": "70–139% cumulative gas increase", "meaning": "The Expand account covers nine Haynesville wells across eight pads and compares cumulative gas over 63–83 days.", "trap": "More than 80 MMscf per well per year is an estimate. The short-period percentage is not an annual or fleet-wide result.", "ask": "Ask for longer follow-up and well-level comparisons under similar liquid-loading conditions.", "evidence": { "company": "Expand Energy", "name": "Liquid unloading", "stage": "operating", "source_date": "2026-07-01", "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.", "sources": [ "OCT10-AI-286-SWPSC", "OCT10-EXPAND-JPT" ], "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" } ], "cost": "Full implementation and ongoing costs are not disclosed in the selected sources." }, "profile_url": "https://energyai.sunya.ai/#initiative=AI-286" } ], "audiences": { "operator": { "label": "For an operator", "title": "Choose the work you want to change.", "text": "Start with a decision someone owns today. Compare the proposed system with the current process. Measure operating results and the work needed to keep the system useful.", "steps": [ "Name the current workflow and its owner.", "Agree the assets, baseline and measurement period.", "Set approval, override and fallback rules.", "Decide in advance what would justify stopping or expanding." ] }, "provider": { "label": "For an AI provider", "title": "Find the work the installed system leaves behind.", "text": "Investigate unresolved reading, coordination and follow-up around existing tools. A public case does not establish an unmet need, a budget or willingness to buy. Treat the proposed openings as questions for discovery.", "steps": [ "Establish what the incumbent system already does.", "Find a recurring exception or review burden.", "Test the model’s incremental contribution.", "Include integration and human review in the economics." ] } }, "method": "Sunya’s synthesis of selected public-source profiles. Workflow layers and proposed next steps are editorial interpretations, not a technology inventory or company plans. Counts describe the selected register, not worldwide adoption or a success rate. Source statements do not independently establish performance or net return. This briefing reorganizes existing evidence; it does not re-audit every source.", "counts": { "profiles": 220, "companies": 104, "operating": 151, "results": 64, "both": 55, "groups": [ { "key": "both", "label": "Operating + numerical result", "ids": [ "AI-006", "AI-012", "AI-034", "AI-035", "AI-037", "AI-049", "AI-054", "AI-071", "AI-072", "AI-097", "AI-118", "AI-125", "AI-136", "AI-141", "AI-142", "AI-144", "AI-145", "AI-146", "AI-147", "AI-165", "AI-166", "AI-167", "AI-168", "AI-171", "AI-186", "AI-187", "AI-201", "AI-213", "AI-216", "AI-219", "AI-220", "AI-221", "AI-226", "AI-231", "AI-232", "AI-233", "AI-234", "AI-235", "AI-238", "AI-240", "AI-248", "AI-259", "AI-273", "AI-276", "AI-277", "AI-279", "AI-281", "AI-285", "AI-286", "AI-290", "AI-292", "AI-296", "AI-298", "AI-301", "AI-306" ] }, { "key": "live", "label": "Operating, no counted result", "ids": [ "AI-002", "AI-003", "AI-007", "AI-011", "AI-022", "AI-027", "AI-030", "AI-032", "AI-033", "AI-036", "AI-038", "AI-041", "AI-042", "AI-043", "AI-052", "AI-053", "AI-068", "AI-074", "AI-081", "AI-083", "AI-084", "AI-085", "AI-086", "AI-088", "AI-089", "AI-092", "AI-094", "AI-096", "AI-100", "AI-101", "AI-117", "AI-131", "AI-132", "AI-134", "AI-139", "AI-140", "AI-148", "AI-149", "AI-153", "AI-154", "AI-159", "AI-161", "AI-170", "AI-173", "AI-178", "AI-180", "AI-181", "AI-182", "AI-183", "AI-184", "AI-185", "AI-188", "AI-189", "AI-193", "AI-195", "AI-199", "AI-203", "AI-204", "AI-205", "AI-206", "AI-209", "AI-210", "AI-212", "AI-214", "AI-215", "AI-217", "AI-218", "AI-222", "AI-224", "AI-225", "AI-237", "AI-241", "AI-244", "AI-246", "AI-247", "AI-249", "AI-250", "AI-251", "AI-252", "AI-254", "AI-255", "AI-256", "AI-257", "AI-261", "AI-262", "AI-263", "AI-267", "AI-269", "AI-274", "AI-287", "AI-288", "AI-291", "AI-293", "AI-294", "AI-300", "AI-305" ] }, { "key": "result", "label": "Other stage + numerical result", "ids": [ "AI-013", "AI-040", "AI-202", "AI-207", "AI-208", "AI-236", "AI-278", "AI-280", "AI-284" ] }, { "key": "other", "label": "Other stage, no counted result", "ids": [ "AI-001", "AI-004", "AI-014", "AI-024", "AI-025", "AI-029", "AI-031", "AI-044", "AI-045", "AI-055", "AI-066", "AI-067", "AI-069", "AI-075", "AI-076", "AI-077", "AI-078", "AI-079", "AI-095", "AI-103", "AI-112", "AI-133", "AI-135", "AI-138", "AI-143", "AI-150", "AI-151", "AI-152", "AI-156", "AI-160", "AI-172", "AI-177", "AI-179", "AI-190", "AI-194", "AI-198", "AI-200", "AI-211", "AI-223", "AI-227", "AI-228", "AI-229", "AI-230", "AI-239", "AI-242", "AI-245", "AI-253", "AI-258", "AI-260", "AI-268", "AI-270", "AI-271", "AI-275", "AI-282", "AI-289", "AI-295", "AI-297", "AI-299", "AI-302", "AI-303" ] } ] }, "source_cases": [ { "id": "AI-006", "company": "Devon Energy", "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-215", "company": "Occidental", "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", "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", "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", "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-141", "company": "Aramco", "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-285", "company": "Burk Royalty", "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-284", "company": "BPX Energy", "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-286", "company": "Expand Energy", "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" } ] } ] }