CopyrightThinkTankMathsLtd2017
“ADynamicSupportSystemFor
WellborePositioningQualityControlWhileDrilling”
Dr.CyrilleMathis,Director&CSO,ThinkTankMaths(Edinburgh)
IOGPGeomatics/StatoilIndustryDay2017
26th April2017- Stavanger,Norway
CopyrightThinkTankMathsLtd2017
Amathematicsresearchcompanythatcreatesparadigm-shiftingsolutions tohardproblemsinmanyfieldsthathaveimmenseoperationalcomplexity.
Tacklesproblemswhereoff-the-shelftechnology,systemsorsoftwaresolutionsdonotexistorareinsufficient.
TTM’ssolutionsimpactclients’currentbusinessmodelsandtechnologies.
Whatwedo…
CopyrightThinkTankMathsLtd2017
• Complexdatasets
• Dataandanalysisgobeyonduseofspreadsheetortraditionalstats/maths– justtoomanyfactorstoanalyse
• Analysisrequiresnewwaysoflookingatdata-- multipleinter-relationships
• Neednewtoolsthatareintegratedintoexistingprocesses– mustfitwithinthesystemandcontextofhoworganisationsdobusiness
• Supportsdecision-makingtodrivebetteroutcomes
Whatdoourclientshaveincommon
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DynamicSupportSystemforWellborePositioningQualityControlOverview
• PathConstruction- Mathematicallyunsound- Pooruseofsensorinformation
• QualityControl- GrosslyincorrectmeasurementscanpassQC- Subjectiveinterpretation- Analternativesourceofinformation
• UncertaintyModelling- Inadequatemathematics- Refinementcannotsolveproblems- Impactsallaspectsoffielddevelopment
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DynamicSupportSystemforWellborePositioningQualityControlPathConstruction
Minimumcurvatureandbeyond:l Developedmoregeneralapproachesl Exploitinformation(‘signatures’)inMWDandLWDsensorsl CreateafoundationtoincorporateQualityControlandUncertainty
Left Minimumcurvature(MC)method. Middle Example well sections by MC vsnovel TTM methods.
Right Well paths generated by MC and novel TTMalgorithm. Despite being equally consistent withdata they disagree on the well position.
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Impact of magnetic corrections and quality control reassessed• Possible to fail good readings• Possible to pass bad readings• Passing QC does not imply improved precision in azimuth
DynamicSupportSystemforWellborePositioningQualityControlQualityControl
Left Comparison of large set of magnetic readings which passindustry QC (black) vs failed industry QC (red), showing nostatistical improvement in azimuthal estimate.
Right Comparison of large set of magnetic readings which have beenunprocessed (black) vs processed by industry MagCorr (red),showing reduction in quality due to MagCorr modification.
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LWD-MWD structures inform magnetic processing• Tailoring magnetic refinement methods to environment• Generate model of environment which may not require IIFR
DynamicSupportSystemforWellborePositioningQualityControlMagneticEnvironmentandIIFR
Figure Comparison of azimuthal estimates from high resolution gyro (orange), raw QC-passing magnetic(black), MagCorr corrected (red) and TTM methods TTM-1 (green) and TTM-2 (blue). MagCorrshows poor performance, often worse than raw. TTM methods give significantly improvedaccuracy, including in the case of TTM-2, which does not use any IIFR data to process magneticreadings.
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DynamicSupportSystemforWellborePositioningQualityControlComplexEnvironments
Extraction of structure within LWD readings beyond “geological layers”Identification of structures or “signatures” guided by utility
Analysis must be able to handle practical challengesl Industry's frequent use of different toolsl Potential mis-calibrationl Multiple tool runs
Figure LWD surveys ordered by Measured Depth (MD) and labelled by colour basedon hidden structures extracted from LWD dataset. Complex mixing showsstructures do not follow MD ordering.
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IntelligentWellborePositioningSystemPrototype
CopyrightThinkTankMathsLtd2017
SiteCom WITSML Server“Real-time”
Visualisation ArchiveCSV
Internal ArchiveBespoke format
“Static data” ServerNominal Field ValuesBGGM + IFR + IIFRBGS
Deliverable Server ( + Client )
Sensor Data from BHAMWD + LWDDrilling Company
Deliverable ClientsBrowser
External formats requiring client/libraries for real-time processing
Bespoke proprietary format for internal use only
Simple CSV format for later or external visualisation
“Drill Simulator”Historical Surveys
CSV, LAS
Historical survey formats for off-line processing
IntelligentWellborePositioningSystem- Workflow
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IntelligentWellborePositioningSystem- EngineWorkflow
Real-timeSiteComWITSML
StaticTIDE
HistoricalArchivedCSV/LAS
MagneticProcessingMethods
PathConstructionMethods
TTMData
ProcessingEngine Positional
UncertaintyMethods
TTMIntelligentDecisioningEngine
AndAlgorithmSelection PositionalEstimate
Uncertainty
QCOutputs
MagneticSignatures
GeologicalInsight
Inputs
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PrototypeUserInterfaceExampleOutputs
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A)WellnameB)Controlbuttons– Show/Hide“Panels”,Show“Help”,ExitVisualisationC)Graph– Plotof1,2or3userselectedoutputvariablesforentirewellD)Table– ColumneddataforuserselectedvariablesE)Panels– Displayedmessages/informationaboutselectedsurveysanddisplayoptionsforgraphandtableF)Informationbuttons– Displaywelloverview,ExporttabledatatoCSVandExportgraphtoPNG
A B
C D EF
PrototypeUserInterfaceVisualisationScreenDescription
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UserInterfaceGraph/TableDisplayOptions
.
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UserInterfaceWellandSurveyInformationMessages
Additional information can be obtained on the well overall (right top) and agiven survey (left bottom) and is displayed in the “Messages” panel.
The overall well data, via the “Well Overview” button, provides a shortsummary of the length of each run and density of surveys within each runup to that point in time.
Information on individual surveys is displayed when a survey’s row in theTable section is clicked. All available information for the survey will bedisplayed in the “Messages” panel regardless of which data types areshown in the Table.
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TrustedReasoningArchitecture(TRA)
CopyrightThinkTankMathsLtd2017
SiteCom WITSML Server“Real-time”
Visualisation ArchiveCSV
Internal ArchiveBespoke format
“Static data” ServerNominal Field ValuesBGGM + IFR + IIFR
BGS TRA Server ( + Client )
Sensor Data from BHAMWD + LWD
Drilling Company
TRA ClientsBrowser
“Drill Simulator”Historical Surveys
CSV, LAS
TrustedReasoningArchitecture(TRA)EnabledSystemWorkflow
TrustedReasoningArchitecture
(TRA)
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DecisionSupportSystem– situationawarenessTrustedReasoningArchitecture(TRA)
In order to train and refine the system it is necessary to use TTM’s Trusted Reasoning Architecture (TRA).
Capabilities and insight gained within the highly demanding military domain (“Command and Control” andunmanned aircraft) can be transferred to the Oil and Gas industry in order to provide an intelligent driller decisionsupport system with “man-in-the-loop”.
“DrillbyWire”systemwithnumerouspotentialbenefits:• Continualupdatingofscenariosandexplanatoryoutputs• Automatedcontrolofsteeringanddrillparameters(WoB,mudpressure,RoP etc)– wellstabilityprediction• Refinedqualitycontrol- eg distinguishingbetweenbrokensensors,beingoff-planandsensorinterference• Automaticcataloguingofnewevents(topreventundesiredsituationsfromreoccurring)
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TrustedReasoningArchitectureAtmosphericsandAnomalies
Improved communication of information essentiall “Atmospherics” drawn from multiple sensorsl Explainable actions lead to increased trustl Avoid overwhelming operator with irrelevant or
“raw” data
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FutureDevelopments
Collision Avoidance Procedure
Through the continued development and refinement of magnetic field processing and novel LWD directionalitymethods identification of signals indicative of collision risks :
• Offset active wells• Ghost wells• Broken or stuck equipment left in an abandoned and plugged well• Unknown obstructions, man-made or natural, which could pose a risk to the drill
Well Planning
Automated Directional Drilling Support
Leakage Detection and Mud Losses
Well Stability While Drilling (Preventing “Troubles” While Drilling)
Deliberate wellbore interception (relief well planning)
Geology Insight
Subsidence Prediction
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Misused trendytechniques…
• Statisticalanalysis(Analytics)• Neuralnetworks• CFD(computationalfluiddynamics)• Deconvolutiontechniques• MonteCarlosimulations
…andflawed thinking
• Systemover-simplification• Assumedlinearity• Bayesianinference• Gaussiandistribution• Mechanicalfunctionality• Directcorrelation• Artificialequilibria,…
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A New Perspective
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Thankyou
Contact:AngelaMathis,[email protected]
ThinkTankMathsLtdEdinburgh,UK
www.thinktankmaths.com