Predictive Analytics for Oil & Gas Group... · 2018-04-30 · Corvelle Consulting 4/27/2018...
Transcript of Predictive Analytics for Oil & Gas Group... · 2018-04-30 · Corvelle Consulting 4/27/2018...
Corvelle Consulting 4/27/2018
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Predictive Analyticsfor Oil & Gas
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Yogi SchulzBiography
Founder at Corvelle Consulting
Information technology related management consulting
ITWorld Canada columnist & CBC Radio guest
Former PPDM Association board member
Industry presenter:– Project World - 6 years
– PMI – SAC - 10 years
– PMI - Information Systems SIG - 2 years
– PPDM Association - many years
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PresentationOutline
Predictive Analytics
Upstream oil & gas industry use cases:– Reducing exploration risk
– Creating development scenarios
– Controlling drilling & completion costs
– Improving production operations
– Evaluating acquisition & divestiture opportunities
Recommendations
Discussion
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Learning Outcomes
Understand predictive analytics
Explore how predictive analytics adds tangible value in oil & gas industry
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PREDICTIVE ANALYTICS
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Definition: Predictive Analytics
Predictive analytics encompasses a variety of statistical techniques such as predictive modeling, machine learning, and data mining to analyze current and historical facts to make predictions about future or unknown events
Predictive analytics exploits patterns found in historical and transactional data to identify risks and opportunities
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Currentdata
Historicaldata
Futureforecast
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Predictive Analytics are Superior
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Predictive Analytics Value Chain
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QualityData
BusinessRules
Value-basedDecisions
CorporateObjectives
PredictiveAnalytics
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“Why the change? Well, I could seewhere the future was going . . .”
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REDUCING EXPLORATION RISK
Upstream oil & gas industryuse case
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You may haveover-simplified ourexploration program
somewhat.
Go out to the field
Find some oil & gas
Drill a deep hole
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CREATING DEVELOPMENT SCENARIOS
Upstream oil & gas industryuse case
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“I collected optimistic seismic data,placed it in the context of shaky well logs,and seasoned it with a wild permeability estimate . . . ”
“. . . added herd instinct,a pinch of price bias . . .and here’s your drilling plan.”
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CONTROLLING DRILLING & COMPLETION COSTS
Upstream oil & gas industryuse case
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Where’sSam the robot
going now?
I dunno.I’ve lost control
over him!
His artificial intelligenceis increasing in power.
He’s becomingan autonomous robot!
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At the moment,he’s trying to flirt
with a vending machine!
There’salways more
to learn.
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IMPROVING PRODUCTION OPERATIONS
Upstreamoil & gas industryuse case
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SAGD - Oil, Water and Steam Analysis
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“Let’s say you want to add a million BOEto your production forecast,
. . . You just push this button here.”
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EVALUATING ACQUISITION & DIVESTITURE OPPORTUNITIES
Upstream oil & gas industryuse case
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You need a dashboardto track your keyproducing asset
performance metrics. That way you’ll havemore data to ignore
when you makeacquisition decisionsbased on company
politics!
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Conclusions
Various datastores organize oil & gas data
Data analytics software summarizes vast data volumes
Predictive analytics software identifies insights in data
Analytics software is vastly superior to Excel
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Recommendations
Communicate predictive analytics benefits
Use predictive analytics software to:
– Improve communication
– Increase return on assets
– Reduce the risk of unprofitableinvestments
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Questions & Discussion
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Can you help us improve our
Predictive Analytics?Pleasefill out
evaluationform
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Predictive Analytics for Oil & Gas
Corvelle Consulting
300, 400 - 5 Ave. S. W.
Calgary, Alberta T2P 0L6
Phone: (403) 860-5348
E-mail: [email protected]
Web: www.corvelle.com
Yogi SchulzFounder at Corvelle Consulting
Information technology related management consulting
ITWorld Canada columnist
Industry presenter
PPDM Association member
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Corvelle Bibliography- 1
Analytics time has come, so learn how your business can unlock the value – http://www.itworldcanada.com/blog/analytics-time-has-come-so-learn-how-your-business-can-unlock-the-
value/394348
Analytics trends for 2016– https://www.corvelle.com/analytics-trends-for-2016/
Big data is useless without visual analytics – http://www.itworldcanada.com/blog/big-data-is-useless-without-visual-analytics/386943
Business Intelligence – experiencing more hype than value?– http://www.corvelle.com/business-intelligence-experiencing-more-hype-than-value/
Business value of data modeling– http://www.itworldcanada.com/blog/business-value-of-data-modeling/380574
Can visual analytics be the savior of the oil and gas industry?– https://www.corvelle.com/can-visual-analytics-be-the-savior-of-the-oil-and-gas-industry/
Channeling the cynicism of BI practitioners– http://www.itworldcanada.com/blog/channeling-the-cynicism-of-bi-practitioners/389882
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Corvelle Bibliography- 2
Do you need big data big results?– http://www.corvelle.com/do-you-need-big-data-for-big-results/
How Project Management is Shaping the Future Of Visual Analytics– https://www.corvelle.com/how-project-management-is-shaping-the-future-of-visual-analytics/
Is data modelling really dead?– http://www.corvelle.com/is-data-modelling-really-dead/
Is your company data-driven? – http://www.itworldcanada.com/blog/is-your-company-data-driven/385732
What data can’t be expected to do – http://www.itworldcanada.com/blog/what-data-cant-be-expected-to-do/389498
Why you need visual analytics– http://www.corvelle.com/resources/articles/it-world-canada/why-you-need-visual-analytics/
The winning business case for business intelligence – https://www.itworldcanada.com/blog/the-winning-business-case-for-business-intelligence/395931
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Bibliography- 1
The Evolution of Analytics– Opportunities and Challenges for Machine Learning in Business– Patrick Hall, Wen Phan, and Katie Whitson, O’Reilly– https://www.sas.com/content/dam/SAS/en_us/doc/whitepaper2/evolution-of-analytics-108240.pdf
ExxonMobil VP Stresses Value Of Geophysical Data– Velda Addison, Senior Editor, Digital News Group Hart Energy September 28, 2017– https://www.epmag.com/exxonmobil-vp-stresses-value-geophysical-data-1660357
Here is How Big Data is changing the Oil Industry– Deena Zaidi, October 4, 2017 – http://www.datasciencecentral.com/profiles/blogs/here-is-how-big-data-is-changing-the-oil-industry-1
Mergers and Acquisitions for 2014– Nate Richards, November 26, 2013– http://www.entranceconsulting.com/2013/11/26/mergers-acquisitions-decrease-integration/
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Bibliography- 2
Predictive Analytics Takes a Victory Lap– William Vorhies, October 10, 2017– http://www.datasciencecentral.com/profiles/blogs/predictive-analytics-takes-a-victory-lap
Stop Using Excel, Finance Chiefs Tell Staffs– Tatyana Shumsky, WSJ, November 22, 2017 – https://www.wsj.com/articles/stop-using-excel-finance-chiefs-tell-staffs-1511346601
10 Things I Hate About Subsurface Data Management– Coy Dean, June 11, 2015 – https://www.linkedin.com/pulse/10-things-i-hate-subsurface-data-management-coy-dean/
Uncertainty Considerations for Development Planning Type Curves– SPE Workshop, September 26, 2017– http://www.verdazo.com/wp-content/uploads/2017/10/Uncertainty-Considerations-for-Development-
Planning-Type-Curves.pdf
VisualBI– http://visualbi.com/portfolio/oil-and-gas-dashboards/
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Analytics Maturity Models
Analytics Landscape – Jean Francois Puget, 21 September 2015 – https://www.ibm.com/developerworks/community/blogs/jfp/entry/Analytics_Models?lang=en
INFORMS Analytics Maturity Model – Determine how well your organization uses business analytics to improve performance– https://analyticsmaturity.informs.org/?cm_mc_uid=53679767957115055687159&cm_mc_sid_50200000=1505568715
IT Score Overview for BI and Analytics– Cindi Howson, Alan D. Duncan, 24 September 2015, Gartner– https://www.gartner.com/doc/3136418/itscore-overview-bi-analytics
A maturity model for big data and analytics– Chris Nott, 26 May 2015, Client Technical Leader, IBM UK Ltd.– http://www.ibmbigdatahub.com/blog/maturity-model-big-data-and-analytics
Talent Analytics Maturity Model – http://www.bersin.com/Lexicon/details.aspx?id=15302
TDWI Analytics Maturity Model and Assessment Tool– How mature is your analytics program?– https://tdwi.org/AMM?cm_mc_uid=53679767957115055687159&cm_mc_sid_50200000=1505568715
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