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DTSTART;TZID=America/Chicago:20211213T083000
DTEND;TZID=America/Chicago:20211214T140000
DTSTAMP:20211129T193312Z
CREATED:20211129
LAST-MODIFIED:20260103
PRIORITY:5
SEQUENCE:2
TRANSP:OPAQUE
SUMMARY:Register now for Pipeline Leak Detection 2021 Dec 13th and 14th – Houston
DESCRIPTION:This Event Reminder is Sponsored by:\nAgenda 2021\n\nDAY 1: MONDAY, DECEMBER 13, 2021\n0830 – 0930REGISTRATION AND MORNING REFRESHMENTS\n0930 – 0940OPENING ADDRESS\n0940 – 1010TECHNOLOGICAL DEVELOPMENTS & RESPONSE TO PIPELINE REGULATION\n\n\n\n\n\n\n\n\nIntroduction of new regulations in France and parallel with the PHSMA regulation recent changes\nPresentation of TRAPIL’s innovative technology (UT and Phased Array inline inspection tools)\nMore than leak detection, illegal tapping detection. Before any leak happens, we need to find them\n\nManon Servais\nTrapil\n\n1010 – 1040ADVANCED LEAK DETECTION AND ITS APPLICATIONS\n\n\n\n\n\n\n\n\nA look at the History of Advanced Leak Detection\nAn Overview – How does ALD work?\nALD is more than just for leak survey (Super Emitter, Pipeline replacement prioritization, etc.)\n\nVincent Gaeto\nPicarro Inc\n\n1040 – 1100MORNING COFFEE BREAK IN EXHIBIT AREA SPONSORED BY FLYSCAN SYSTEMS INC\n1100 – 1130ADVANCED & DIGITALIZED LASER-BASED SOLUTIONS FOR LEAK DETECTION\n\n\n\n\n\n\nAdvanced natural gas leak detection requires more than just high sensitivity measurements\nA look at comprehensive laser-based solutions that enable investigators to find leaks essentially anywhere\nAutomatically create detailed and comprehensive digital reports that summarize results of surveys\nSecurely share the digital reports via secure internet communication\n\nDoug Baer\nABB\n\n1130 – 1200NEW TECHNOLOGY IN LEAK DETECTION WITH CLEAR FINANCIAL ROI\n\n\n\n\n\n\nRemote sensing of crude oil leaks is still a key missing part of the pipeline integrity puzzle\nA new airborne sensor and software suite is now offering a solution specific to crude oil and refined products\nAutomation of bi-weekly visual inspection functions is now provided as well, with Machine Learning software developed by our partner Enbridge Pipelines\nA clear financial ROI is part of the solution, beyond technology and compliance\n\nEric Bergeron\nFlyscan Systems Inc\n\n1200 – 1330NETWORKING LUNCH & VISIT OIL & GAS PIPLINE LEAK DETECTION EXHIBITION\n1330 – 1400LATEST LEAK DETECTION TECHNOLOGIES\n\n\n\n\n\n\nLatest on Tunable Diode Laser Absorption Spectroscopy (TDLAS) in the RMLD-CS for underground and above-ground inspection of natural gas piping networks from wellhead to burner tip\nUse of optical gas imaging (OGI) in the OPGAL EyeCGas in upstream and midstream natural gas operations\nMobile leak detection technologies for use in local distribution, transmission and gas gathering operations\n\nPaul Wehnert\nHeath Consultants Incorporated\n\n1400 – 1430MOBILE AUTOMATED SPIRAL INTELLIGENT PIPE\n\n\n\n\n\n\nA holistic approach to automating onshore pipeline construction that includes mobile automated on-site pipe manufacture, digitized quality control of key pipe fabrication QC parameters\nThe embedding of optical fiber in the pipe wall for lifetime performance integrity monitoring\n\nAndrew Stevenson\nSustainable Pipeline Systems\n\n1430 – 1500IMPROVING REAL-TIME-TRANSIENT-MODEL BASED LEAK DETECTION USING DATA SCIENCE\n\n\n\n\n\n\nHow technologies can be used to improve the quality of raw SCADA data being used by RTTMs\nUtilizing present technologies to improve the leak enunciation decision-making process\n\nSanjay Yadav and David Stobb\nDNV\n\n1500 – 1530AFTERNOON COFFEE BREAK IN EXHIBIT AREASPONSORED BY DIRECT-C & TWI LTD\n1530 – 1600UNCERTAINTY QUANTIFICATION OF ARTIFICIAL INTELLIGENT MODELS IN PIPELINE LEAK DETECTION\n\n\n\n\n\n\nANN based models have been proved to be efficient inverse problem solvers that may be widely adopted in pipeline leak detection\nThe ANN based leak detection model is about predicting the location and flow rates of leakage using flow rate and pressure measurement data with uncertainty\n\nDavid Cheng\nFluor Corporation\n\n1600 – 1630HYDROCARBON LEAK DETECTION USING WRAP SENSE LARGE-SCALE ENVIRONMENTAL TESTING\n\n\n\n\n\n\nWrapSenseLD™ system features polymer-based hydrocarbon leak detection sensors\nHighly sensitive to liquid hydrocarbons rendering it a low-cost, simple, flexible, reliable technology\nNew alarm algorithms to distinguish between Hydrocarbon exposure and Sensor Disconnection\nNot affected by external thermal cyclic loading validating its use for high temperature applications\n\nAdrian Banica and Rodrigo Rueda\nDirect-C & TWI Ltd\n\n1630 – 1700THEFT DETECTION ON PIPELINES\n\n\n\n\n\n\nThieves hot tap a pipeline, and steal product at very small rates. Using specialized equipment and data analysis to help operators identify these tapping points and their whereabouts\nThese small theft events or ‘leaks’ usually go undetected with conventional instrumentation and technology, and require specialized hardware and data analysis by a trained engineer\n\nPeter Han\nAtmos International\n\n1700 – 1800NETWORKING DRINKS RECEPTION\nDAY 2: TUESDAY, DECEMBER 14, 2021\n0900 – 0930MORNING REFRESHMENTS\n0930 – 0940OPENING ADDRESS\n0940 – 1010VALUE ADDED PIPELINE APPS WITH HIGH FIDELITY FIBER OPTIC MONITORING & MACHINE LEARNING\n\n\n\n\n\n\nDistributed fiber optic sensing has been gaining significant momentum in pipeline industry adoption. The primarily application for this technology has been preventative leak detection\nHigh fidelity distributed sensing (HDS) uses a unique approach to interferometry which achieves very high signal-to-noise ratio (SNR). Along with high SNR, HDS also provides integrated acoustics, temperature and strain/vibration, and is optimized to do so over long distances with provides no degradation of fidelity. The resulting sensing performance can be leveraged for other operational applications, which provides increased value over and above leak detection\n\nSteven Koles\nHifi\n\n1010 – 1040LEAK DETECTION FOR COMPLEX UPSTREAM OIL & GAS SYSTEMS USING MACHINE LEARNING\n\n\n\n\n\n\nData analytics to develop optimal leak detection strategies for Oil & Gas pipeline systems\nResearch and Development related to leak detection including multiphase flow\nResults from machine learning algorithm for upstream pipeline leak detection systems\n\nStephen Ramsay\nGrey Owl Engineering\n\n1040 – 1110BENEFITS OF MACHINE LEARNING IN IMPLEMENTING CONTINUOUS LEAK DETECTION\n\n\n\n\n\n\nMachine Learning can enable leak detection with minimal instrumentation\nThis Technology can handle traditionally complex operations like transient or intermittent flow\nUsing ML to efficiently approximate the physics & hydraulics of individual liquid pipelines\nModern computing can cut the time of implementation from months to weeks\n\nBraden Fitz-Gerald\nFlowstate\n\n1110 – 1130MORNING COFFEE BREAK IN EXHIBIT AREASPONSORED BY EDDYFI TECHNOLOGIES\n1130 – 1200IMPORTANCE OF PIPELINE DIGITAL TWIN TO LEAK DETECTION AND MODELING\n\n\n\n\n\n\nWhat is a pipeline digital twin and what does the data look like? How is it created and maintained?\nHow will it impact integrity analysis along with operations and maintenance?\nHow can those in leak detection and mitigation use digital twin data?\n\nJoseph Hlady\nLux Modus\n\n1200 – 1230LOAD INDICATING FASTNERS FOR FLANGE JOINTS AND PIPELINES\n\n\n\n\n\n\nGame-changing fastener technology for oil and gas quickens inspection times while improving safety, and offers greater accuracy for measuring clamp load of bolted joints\nThe result: money savings, leak prevention, and increased awareness of equipment health\n\nJames Brooks\nValley Forge & Bolt Mfg. Co.\n\n1230 – 1300UTILIZATION OF DATA ANALYTICS TO IDENTIFY LEAKS AND OPTIMIZE DETECTION AND MONITORING PROGRAMS\n\n\n\n\n\n\nKnowing the gas being detected to set the correction factor to make the response correct\nGas detector that can accurately detect hydrocarbons without the need to know in advance what the explosive or combustible gas is\nAvoiding profound limitations of conventional detectors that rely on catalytic bead technology\n\nMichael Bryan\nKanary Alert Systems\n\n1300 – 1400NETWORKING LUNCH & RAFFLE DRAW\n\n\n\n\n\nFollow MidstreamCalendar.com for upcoming industry events. Midstream Calendar was created to help synchronize the industry by providing a free lookahead for key industry events across the country. We focus on non-profit support, community, and industry specific trade shows and conferences for gathering, gas processing, transmission, compression, refining plants, chemical plants, fertilizer plants, terminals, storage facilities, LNG plants, syngas, and bio mass.\n
URL:https://midstreamcalendar.com/events/pipeline-leak-detection-2021/
ORGANIZER;CN=Ben Carlos:MAILTO:ben.carlos@iQ-Hub.com
LOCATION:2001 Post Oak Blvd, Houston, TX 77056
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