20 Feb 2018 REGISTER

CONT. ED. | Applied Statistical Modeling and Data Analytics for Reservoir Performance and Analysis

Date: Tuesday, Febuary 20, 2018 | 8:00 AM

Location: Liberty Oilfield Services 950 17th Street, Floor 24 
Denver, Colorado 80202

Description

There is a growing trend towards the use of statistical modeling and data analytics for analyzing the performance of petroleum reservoirs.  The goal is to “mine the data” and develop data-driven insights to understand and optimize reservoir response.  The process involves: (1) acquiring and managing data in large volumes, of different varieties, and at high velocities, and (2) using statistical techniques to discover hidden patterns of association and relationships in these large, complex, multivariate datasets.  However, the subject remains a mystery to most petroleum engineers and geoscientists because of the statistics-heavy jargon and the use of complex algorithms.

This workshop will provide an introduction to statistical modeling and data analytics for reservoir performance analysis by focusing on: (a) easy-to-understand descriptions of the commonly-used concepts and techniques, and (b) case studies demonstrating the value-added proposition for these methods. Participants are encouraged to bring their own laptops to follow along the exercises in the workshop.  Topics to be covered include:

-Terminology and basic concepts of statistical modeling and data analytics

-Multivariate data reduction and clustering (for finding sub-groups of data that have similar attributes)

-Machine learning for regression and classification (for developing data-driven input-output models from production data as an   alternative to physics-based models)

-Proxy construction using experimental design (for building fast statistical surrogate models of reservoir performance from simulator   outputs for history matching and uncertainty analysis)

-Uncertainty quantification for performance forecasting

 

Learning Level

Introductory to Intermediate

 

Course Length

1 Day

 

Why You Should Attend

As “big data” becomes more common place, it will be necessary to extract as much intelligence from our ever-expanding trove of dynamic data from petroleum reservoir to improve operational efficiencies and make better decisions. This course provides the background to understand and apply fundamental concepts of classical statistics, as well as emerging concepts from data analytics, in the analysis of reservoir performance related datasets.  This will petroleum engineers/geoscientists to efficiently interact with data scientists and develop practical data-driven applications for their assets (without getting lost in the math).

 

Who Should Attend

This course is for designed for petroleum engineers, geoscientists, and managers interested in becoming smart users of statistical modeling and data analytics.

 

CEUs

0.8 CEUs (Continuing Education Units) will be awarded for this 1-day course.

 

Cancellation Policy

All cancellations must be received no later than 14 days prior to the course start date. Cancellations made after the 14 day window will not be refunded. Refunds will not be given due to no show situations.

Training sessions attached to SPE conferences and workshops follow the cancellation policies stated on the event information page. Please check that page for specific cancellation information.

SPE reserves the right to cancel or re-schedule courses at will. Notification of changes will be made as quickly as possible; please keep this in mind when arranging travel, as SPE is not responsible for any fees charged for cancelling or changing travel arrangements.

We reserve the right to substitute course instructors as necessary.

Full Regional cancellation policies can be found at the “Cancellation Policy” link on the SPE Training Course Catalog page: https://www.spe.org/training/catalog.php.

 

Instructor

Dr. Srikanta Mishra is an Institute Fellow and Chief Scientist (Energy) at Battelle Memorial Institute, the world's largest independent contract R&D organization.  He is responsible for developing and managing a geoscience-oriented technology portfolio related to computational modeling and data analytics for geological carbon storage, shale gas development and improved oil recovery projects.  Dr. Mishra has taught short courses on uncertainty quantification, statistical modeling and data analytics at various professional conferences and client locations in the US, China, Spain, Japan, Finland, Belgium and Switzerland.  He is author of a forthcoming book on statistical modeling and data analytics for the petroleum geosciences to be published by Elsevier, as well as ~200 technical publications.  He holds a PhD degree from Stanford University, an MS degree from University of Texas and a BTech degree from Indian School of Mines – all in Petroleum Engineering.

6 Mar 2018 REGISTER

CONT. ED. | Re-Fracturing - Candidate Selection and Design

Dates: Tuesday, March 6, 2018 @ 8:00 AM 

Location: Schlumberger Training Room - 1625 Broadway Suite 1300 Denver, CO 80202

Instructor: Michael B. Smith, President of NSI Technologies

Cost: Member $750, Non-member $850

0.8 CEUs (Continuing Education Units) will be awarded by SPE-Americas Office for this 2-day course.

Registration Deadline: Monday, February 19, 2018 @ 5:00 PM


Description

If I want to re-frac a well “just because” – maybe I am disappointed in the production – that is most likely a BAD idea. This course discusses how I can go about selecting a candidate (there are no really “good” candidates since having to re-frac indicates original fracs were not adequate) that will benefit from such a workover. Then, what extra considerations are involved in a treatment design.

  • What makes a good (or NOT) re-frac candidate
  • How does depletion affect the re-fracture for good or bad
  • What might be different about re-fracture treatment design

Learning Level

Intermediate (Useful to be familiar with fundamentals of hydraulic fracturing)

Course Length

1 Day

Why Attend?

If you are considering the possibilities of re-fracturing operations, it is critical to understand all the various conditions that must be considered. These include: geomechanics of how production from this and offset wells may have changed in situ stresses, how proppant from the original frac may impact fracture propagation for the re-frac, and understanding specifically what must be accomplished by the re-fracture treatment (make longer fractures, inject stronger proppant to restore kfw, fracture new rock, …).

Who Should Attend

This course is of interest to petroleum engineers involved (directly or indirectly) in candidate selection, design and evaluation of re-fracturing treatments. It would be beneficial for participants to have a basic understanding of hydraulic fracturing and well completion concepts. However, the course is also of interest/value for reservoir engineering and management to understand what potentially can (and cannot) be achieved with re-fracturing.

CEUs

0.8 CEUs (Continuing Education Units) will be awarded for this 1-day course.

Cancellation Policy

All cancellations must be received no later than 14 days prior to the course start date. Cancellations made after the 14 day window will not be refunded.  Refunds will not be given due to no show situations.

Training sessions attached to SPE conferences and workshops follow the cancellation policies stated on the event information page.  Please check that page for specific cancellation information.

SPE reserves the right to cancel or re-schedule courses at will.  Notification of changes will be made as quickly as possible; please keep this in mind when arranging travel, as SPE is not responsible for any fees charged for cancelling or changing travel arrangements.

We reserve the right to substitute course instructors as necessary.

Full Regional cancellation policies can be found at the “Cancellation Policy” link on the SPE Training Course Catalog page: https://www.spe.org/training/catalog.php.

Instructor

Michael B. Smith is president and founder of NSI Technologies, a consulting firm in Tulsa, Oklahoma. He has more than 20 years of experience in rock mechanics, well completions, and hydraulic fracturing. Smith has written more than 35 technical papers and holds six patents. He also served as an SPE Distinguished Lecturer and wrote two chapters in the SPE Monograph, Recent Advances in Hydraulic Fracturing. Smith recently received the Lester C. Uren Award for his technical contributions to hydraulic fracturing.

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