{"resourceId":"kogas-tech-ai-gas-pipeline-safety-pilot-tender-2026","versions":[{"version":"external-b9dfa6d6b19722e87fb6ced1f710a175017713279b1bcffbc23fee805f81a270","resource":{"id":"kogas-tech-ai-gas-pipeline-safety-pilot-tender-2026","title":"Korea Gas Technology Corporation tenders an AI-based real-time gas pipeline safety management pilot (KRW 206 million)","organization":"Korea Gas Technology Corporation (KOGAS-Tech, 한국가스기술공사)","sector":"Natural gas pipelines (public enterprise)","geography":"South Korea","publishedAt":"Public procurement notice R26BK01796859-000, posted 28 Oct 2026","publicationDate":"2026-10-28","eventDate":"2026-11-09","sourceName":"Jodaln (procurement listing of KONEPS notice)","sourceLabel":"Procurement aggregator reproducing a public tender notice","sourceUrl":"https://jodaln.com/bid/R26BK01796859/000","evidenceClass":"independent-reporting","outcomeClass":"emerging","topics":["governance-procurement","infrastructure"],"finding":"KOGAS-Tech, a public gas-engineering enterprise, posted a tender on 28 Oct 2026 for a pilot build of an AI-based real-time gas pipeline network safety management system. The estimated price is KRW 206.4 million against an allocated budget of KRW 227.04 million. It is a restricted competitive, electronic bid with the award decided by negotiation; bidding opens 5 Nov, qualification registration closes 6 Nov and bids close 9 Nov 2026, with opening on 11 Nov. It is classed as information-system development services.","sledRelevance":"A public-enterprise procurement shows gas pipeline AI moving from vendor marketing into funded pilots with defined budgets and negotiated awards. It adds dated gas-sector evidence, which this stream has lacked, and offers a template for scoping a small pilot.","evidence":"Tender metadata from an aggregator copy of the KONEPS notice; the specification document was not opened, so technical scope and success criteria are unknown.","architectureImplications":"Real-time safety monitoring implies streaming sensor or SCADA data into an AI analytics layer; specifics are not stated in the listing.","governanceImplications":"Negotiated award allows the buyer to weigh technical approach; evaluation criteria were not seen.","securityPrivacyImplications":"Not stated in the listing; any real-time pipeline system would fall under national critical infrastructure security rules.","caveats":"Aggregator listing rather than the official KONEPS page; the specification and award outcome are not yet known. Korean public enterprise, not a US utility.","streamIds":["utility-management"],"roles":{"sales":"Sales framing: a modest, negotiated pilot is the reference here. For municipal gas leaders, the conversation is how to test AI pipeline monitoring with a capped budget and clear success criteria before scaling. Ask what monitoring data they already collect and what a failed pilot would look like. A bounded engagement is pilot scoping and evaluation design. Do not describe outcomes; the tender has not been awarded.","engineering":"Engineering framing: 'real-time' safety management implies streaming pressure, flow or sensor data into analytics. Before a pilot, check data latency, historian access and the integration path into the control room. Define baselines from existing leak and incident records so the pilot can be judged. Keep analytics advisory and read-only to SCADA during the pilot.","delivery":"Delivery framing: the owner is the gas engineering or integrity manager with procurement. Work is to write a specification with measurable criteria, run a negotiated award and hold a fixed pilot period. Proposed acceptance criteria are detection performance against records and alarm burden on operators. Risks are vague specifications and pilots that never reach a go or no-go decision."},"roleDetails":{"sales":{"customerProblem":"Gas utilities want to try AI pipeline monitoring without a large unproven commitment.","stakeholders":["Gas integrity manager","Procurement officer","Control-room supervisor","OT security lead"],"discoveryQuestions":["What pipeline data do you stream today?","What budget ceiling suits a pilot?","What result would justify scaling?"],"valueHypothesis":"A capped, negotiated pilot can produce evidence for a scaling decision at low risk.","potentialEngagement":"Pilot specification and evaluation design for AI pipeline monitoring.","unsupportedClaims":["Any detection performance","Vendor selection outcome","Cost savings"]},"engineering":{"fit":"Gas systems with SCADA or sensor data and leak/incident records for baselines.","architectureIntegration":"Streaming analytics on pressure/flow/sensor data feeding advisory alerts to the control room.","prerequisites":["Historian access","Incident and leak records","Network model or GIS"],"constraints":["Specification not public in source","Critical-infrastructure security rules","Data latency"],"security":"Read-only data paths, segmented from control; vendor remote access controlled.","proofOfValue":["Detections compared with recorded leaks","Alarm volume per operator shift","Integration latency"]},"delivery":{"work":"Specify, procure by negotiation, run a time-boxed pilot, decide go or no-go.","dependencies":["Procurement rules","Data access","Operator time"],"ownership":"Gas integrity manager with procurement.","skillsAdoption":"Control-room staff trained to triage AI alerts.","governanceCheckpoints":["Specification review with security","Mid-pilot review","Go/no-go decision record"],"acceptanceCriteria":["Proposed: detection performance reported against historical records","Proposed: alarm burden within an agreed operator limit","Proposed: written go/no-go decision at pilot end"],"risks":["Vague specification","Pilot without decision","Vendor lock-in"]}},"retrievedAt":"2026-11-02T22:08:27-06:00","enrichedAt":"2026-11-02T22:10:16-06:00","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Not addressed.","procurementImplications":"Shows a small, bounded pilot (about USD 150,000) procured by negotiation, a model municipal gas systems could use to test AI before committing.","operatingModelImplications":"Pilot-first procurement keeps operational change limited until results are known.","sourceVerification":{"openedUrl":"https://jodaln.com/bid/R26BK01796859/000","referenceExcerpt":"AI기반 실시간 가스배관망 안전관리시스템 시범구축 용역","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}