Machine Learning: Practical Use in Upstream Oil & Gas

There’s an enormous amount of discussion about the possibilities of Machine Learning but far less practical information about the impacts it can have on Oil & Gas today. In this presentation, we articulate some of most valuable prizes Machine Learning offers for upstream Oil & Gas, including feature importance and sensitivity analysis, and the power of predictive Machine Learning models. The presentation outlines two recent case studies – one focused on reservoir properties and the other focused on drilling and completion optimization – that bring the material to life. This presentation was originally delivered May 31, 2018 as part of the SPE Oil & Gas Breakfast Series in Calgary.

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Visual Analytics in the New Normal: Past, Present & Future

Over the last decade, the collective impact of changes in production technologies, the shift in commodity prices and a reduced workforce is defining a ‘new normal’ in oil & gas. This presentation provides a visual overview of evolving production and market trends and explores the role data and technology will play as the industry adapts to its changed landscape. “Visual Analytics in the New Normal: Past, Present & Future” was originally presented as part of the geoLOGIC Adapting to the New Normal technical showcase on Nov. 16th, 2017.

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How Many Months of Production Do I Need for a Reliable Forecast?

Production forecasts derived from Type-well Curves are typically based on limited data. Our desire to predict the production performance of recent wells with limited data introduces uncertainty that is difficult to quantify. There is also an industry tendency to rely on early predictors like IP90 as a comparative measure of well performance. This study includes a look-back involving more than 87,000 forecasts (Montney and Viking wells) to see how much data you need for an 80% confidence interval. It also compares how much data you need from both a Volumes(Reserves) and Value perspective.

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Uncertainty Considerations for Development Planning Type Curves

The use of Type-well Curves for Development Planning has many uncertainties. Not adequately taking these uncertainties into account can result in statistically unachievable expectations. Failure to meet production expectations can have drastic stock market consequences on share value. This presentation provides guidance about the uncertainties that need to be considered and how Aggregation Curve approaches can help you better plan for statistically achievable results.

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Effectiveness of Nitrogen Energized Completions in the Alberta Montney

In the Kakwa area of the Montney there has been a recent trend away from the use of nitrogen as an energizer in the completion of horizontal multi-stage fractures. This presentation explores the effectiveness of this trend, specifically examining the production performance, cost implications and economics of the use of nitrogen in the area, and considers the uncertainty associated with drawing early conclusions.

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Is your organization competing on analytics? A roadmap to analytics success.

(April 2017, Society of Petroleum Engineers Breakfast Talk, Calgary) This wide-ranging presentation makes the case for using visual analytics — and lays out a path to analytics success. It examines the state of analytics adoption in oil & gas and details why so many analytics initiatives fail. Readers will learn the mental hurdles and obstacles organizations must overcome on their journeys and get clear case studies that show how analytics are making major impacts across the industry.

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Multivariate Analysis Using Advanced Probabilistic Techniques for Completion Optimization

(Feb 2017, SPE Canada Unconventional Resources Conference, Calgary) Efforts to identify optimal completion technology and design parameters are complicated by the compounding impacts of broad statistical variability in operations, reservoir/fluid and completion/wellbore design. There are several analysis approaches available to identify and optimize key completion design parameters. Each approach offers limited insight on its own, but combining a set of approaches into a disciplined methodology can collectively present a unique understanding of optimal completion technology and design. This is the presentation for manuscript SPE-185077-MS presented at SPE Canada Unconventional Resources Conference on Thursday, February 16, 2017.

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The Journey Towards Analytic Maturity

(Nov 2016, Haskayne School of Business, Calgary) This presentation outlines the opportunities that sophisticated data visualization software tools provide to oil & gas companies as they pursue analytic maturity and some of the key challenges they’ll face along the way. It offers insights into the way data visualization is being used to drive efficiencies, reduce costs, build consensus and overcome obstacles across the organization. Key case studies bring the concepts to life.

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Visual Analytic Techniques for Operational Efficiency and Performance Improvements

(May 2016, Canadian Operational Research Society (CORS) Conference) Increasingly companies are striving to optimize production and minimize costs. Analytics is increasingly becoming the secret weapon that companies use to identify downtime reduction opportunities, reduce costs and establish a competitive advantage. This presentation outlines visual analytic techniques and approaches that have helped oil and gas producers optimize production and reduce costs in challenging times.

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Understanding Type Curve Complexities and Analytic Techniques

(Dec 2015, SPE – Calgary Section) This presentation is the culmination of a decade of working with industry experts. It illustrates the complexities, technical considerations and analytic techniques that should be part of type-well curve development and use. If proper techniques are not used there can be significant impacts on reserves evaluations, development planning, production performance comparisons and completion optimization insights.

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