Integrating Petrophysics with Rock Properties and Production Data to Predict Organic Shale Well Performance

              February 19-20, 2018


Integrating Petrophysics with Rock Properties and Production Data to Predict Organic Shale Well Performance


February 19-20, 2018

8:00 AM - 5:00 PM

                                    Subsurface Consultants and Associates

                                          10700 Richmond Ave Ste 325

                                                 Houston, Tx 77042


Who should attend:

Engineers, geoscientists, and asset managers that want to develop techniques for predicting well performance in organic shale reservoirs by integrating petrophysical analysis with rock properties and production data.


Course Description:

Petrophysical analysis of organic shale reservoirs can be considerably more complicated than analysis of conventional reservoirs.  The presence of kerogen in organic shale reservoirs introduces a level of complexity into the petrophysical analysis process for estimating hydrocarbons in place. Traditional TOC based multimineral models are complicated by the presence of mobile oil (S1) along with the kerogen (S2) that makes the volume of kerogen in the rock difficult to estimate from simple TOC correlations.  Even with an accurate kerogen volume the physical properties of the kerogen making up that volume are not well characterized.  Most organic shale reservoirs have additional complex minerals like pyrite and other heavy minerals that further complicate a straight volumetric approach with a limited number of input curves. Even with a solid petrophysical estimate of OOIP or OGIP per section rock mechanics and proppant transport issues introduce another level of complexity as to what is the effective producing height for the completion.  The petrophysical analysis process is demonstrated using the Powerlog Synthetic Curve Generator which facilitates high quality empirical ties between log and core data in any organic shale reservoir to estimate hydrocarbons in place. Using the petrophysically derived rock properties data an estimate is made of the producing height and a comparison is then made to production data with the height above the proppant bank a function of rock brittleness.  Once the recovery factors per acre is estimated from that exercise operators can then “forward model” landing zone performance prior to drilling a lateral provided there is adequate openhole log data in the area.  The recovery factors are a direct function of the frac treatment intensity and forecasts can be made for previously Gen I fracced areas with larger more intense Gen III fracs.  The flexibility of the Powerlog program allows for robust models to be developed for simple “triple combo” log suites following calibration of the model to core and/or specialty log data.  All equations used in the analysis can be exported to Excel or any other log analysis platform for later use.  A laptop is required with Microsoft Excel and Adobe Reader installed.  It is not necessary to have the Powerlog program installed on students computers as all calculations following the initial model development can be performed in Excel or any petrophysical analysis platform.  Participants are encouraged to provide local case studies for their areas of interest to develop models specific to their wells in the course.


Learning Outcomes:

  • Develop a calibrated petrophysical model that can be used to estimate hydrocarbons in place for any organic shale reservoir
  • Learn techniques to integrate the OIP/GIP data with rock properties and production data to estimate recovery factors as a function of the frac vintage (Gen I, II, III, etc)
  • Develop well performance models specific to their reservoirs if case studies are brought to the class and export equations for application in their reservoirs


Course Content:

  • Review of basic log analysis techniques
  • Log quality control and normalization  
  • Calibration of Vclay, porosity, Sw to core and production data
  • Net pay cutoff estimation
  • Recovery factor model data requirements
  • Rock properties model development
  • Production decline curve analysis
  • Log analysis exercises using Excel based analysis package
  • Case studies with calculation of OIP in Excel and comparisons to EUR
  • Analysis of student provided case studies and discussion
  • “Best Practices” for consistent results incorporating OIP and rock properties data

Course qualifies for 1.6 CEU units


Instructor Background


Robert Barba


Bob spent 10 years with Schlumberger as an openhole field engineer, sales engineer, and product development manager. While at Schlumberger he was the North American product champion for the FracHite and Quantifrac products that integrated wireline, testing, and pumping inputs to optimize hydraulic fracture treatments. He was also the product development manager for the QLA program that made the field log analysis “Cyberlook” program available to customers on personal computers. Since then he has spent 16 years consulting to over 200 companies on petrophysics and completion optimization. He served as a SPE Distinguished Lecturer on integrating petrophysics with the hydraulic fracture treatment optimization process. He has focused on the integration of petrophysics with completion designs in a variety of reservoirs in North America, conducting numerous field studies for operators evaluating the effective frac length in over 4000 wells and providing "best practices" recommendations based on the study results (SPE 90483). He has been responsible for the petrophysical analysis of 40 major fields worldwide as part of integrated reservoir characterization studies identifying remaining mobile hydrocarbons. He has authored 36 technical papers on the integration of petrophysics with completion designs, horizontal wells, and reservoir characterization projects.   Recent major consulting projects have involved optimizing completion practices in horizontal organic shale wells for major operators in the Marcellus shale, Utica, Cline, Eagle Ford, Bakken, Wolfberry, and Wolfcamp His latest paper showed a significant improvement in horizontal shale recovery factors can be obtained by ensuring the wellbore, proppant, and net pay are connected using “best practices” presented in the school. Bob has a BS from the US Naval Academy and MBA from the University of Florida. He is also a member of the SPE, SPWLA, and the AAPG.

Sign up Today - Registration & Payment

Copy the link below into your browser:

Integrating Petrophysics with Rock Properties and Production Data to Predict Organic Shale Well Performance

How to integrate well log data with production data to forecast organic shale EURs

February 19-20, 2018

8:00 am-5:00 PM


Copy this link into your browser:



Subsurface Consultants & Associates

10700 Richmond Ave

Houston, Tx 77042




Advance Registration Required


Tuition $2250 per attendee


For course details see "Upcoming Short Courses" tab above



Sign Up Today

Registration and Payment

Copy this link into your browser:



Print Print | Sitemap
© Integrated Energy Services Inc.