The Industry’s Reserves

Estimation Meeting:

June 20-21, 2018

Houston, TX

Day One
Wednesday June 20, 2018

Day Two
Thursday June 21, 2018

Parent/Child Relationships, Well Spacing & Field Development Planning to Maximize EUR

Chair’s Opening Remarks

Permian Basin Case Study: Enhanced Field Development in the Southern Midland Basin

  • Matt Parsons Senior Staff Reservoir Engineer, Subsurface Lead, Hunt Oil Company


  • Evaluating well performance and different completion characteristics
  • Accurate prediction of draining radius
  • Depletion impacts from neighbouring well completions and depletions
  • Increased cost of parent well vs child well productivity
  • Well stacking and spacing assumptions and results for proved reserves

Case Study: Reducing EUR Uncertainty and Optimizing Completions/ Stimulation Practices to Improve Well Recovery in the Haynesville

  • Brent Haas Vice President of Engineering , R Lacy


  • Identifying workflows, completion and stimulation practices to optimize EUR
  • Streamlining integration of 3rd party public data into analytics and visualization tools
  • Incorporating multivariate regression analysis on datasets to reduce EUR uncertainty
  • Exploring different stimulation approaches, including better stimulations with multiple horizontal fracs

Morning Refreshments & Networking

Keynote Video-Link Presentation: Construction of Type Wells

  • Dr John Lee Professor, Harold Vance Department of Petroleum Engineering, Texas A&M University

Case Study: Identifying Optimum Well Spacing in the Permian and the Impact of Parent Depletion on Child completion effectiveness


  • Exploring trial and error, pilots, and modelling for identifying optimal well spacing
  • Developing a novel integrated statistical workflow
  • Data analysis, pilots and detailed geomechanical and statistical reservoir modeling
  • Integrating EUR reduction factors from workflow with economic criteria to determine optimum well spacing
  • Reservoir modelling to understand the hydraulic fracturing and production process more fully and the impact on parent/child well interference

Lunch & Networking

Reserves Evaluation Using Data Analytics & Machine Learning: Strengths, Weaknesses, Challenges, Opportunities for Enhancing Forecasting and Bankability of Assets

The Integration of Planning and Reserves: People, Processes, and Performance


  • Distinct workflows energy companies are using to integrate reserves data and business planning in one ecosystem
  • Using the right data for the purposes with less data mining, and more analysis
  • How does reserves data impact the rest of the business? / How can this data be leveraged by other teams for maximum insight, and vice versa?
  • How integrated planning and reserves provides a unified view of assets, increases in efficiencies, enhanced collaboration and more informed decision making

Case Study: Application of Machine Learning in Prediction and Quantification of Well Interference “Frac-Hit” in Marcellus Shale

  • Ebrahim Fathi Assistant Professor of Petroleum and Natural Gas Engineering , West Virginia University
  • Hoss Belyadi Senior Reservoir Engineer, EQT Corporation


  • Developing a driven model to locate and determine frac-hits in Marcellus shale using hard data to address significant increase in frac-hit occurrences due to infill wells being completed
  • Combining Adaptive Moment Estimation (ADAM) Neural Networks with designated parameters and target outputs in conjunction with gas flowrate, tubing pressure, and cumulative gas prediction
  • Results of NN training and test results and predicting the moment of the frac-hits to new infill wells

Case Study: Optimizing the Value of the Asset Through Improved Type Wells Analytics

  • Larry Phillips Senior Vice President - Reservoir Engineering Unconventional, Eagle Energy Exploration


  • Methodology for maximizing use of available data in analyzing type wells
  • Forecasting & typing wells
  • Analyzing drilling and completion data & practices
  • Choosing wells appropriate as type wells for developing your type curves

Afternoon Refreshments & Networking

Reliability & Use of Simulation Tools for Unconventional Reservoirs

An Integrated Engineering View on Reserves Estimation for Permian Wolfcamp Shale

  • Duc Lam Senior Reservoir Engineer, Unconventional Subsurface Integration


  • What is the current state?
  • Detailing the Reservoir Simulation model and its use
  • Subsurface parameters and their effect on IPs and EURs
  • Merging simulation, cloud based computing and traditional DCA
  • Conclusions

Open Discussion: Field-Wide Approaches and Analysis of Data for Improved Forecasting and Production Flows


  • Data analytics and Machine Learning: Steps to validate a reliable technology
  • What data “makes the most sense” for analytics
  • Normalization techniques: Scalar/linear, multivariate?
  • Workflows for application of analytics models
  • Predictive analytics vs engineering design: Competitors or colleagues

Chair’s Summary

Close of Conference