Learning From Reservoir Response: History Matching and Production Data Analysis

SPE WORKSHOP

Chairpersons

Akhil Datta-Gupta

Texas A&M University

Detlef Hohl

Shell International Exploration

and Production, Inc.

Faruk O. Alpak

Shell International Exploration

and Production, Inc.

Ray Ambrose

NRG Carbon 360

Jody Augustine

Tom Blasingame

Texas A&M University

Fady Chaban

Sanjel USA

Deepak Devegowda

University of Oklahoma

Zhong He

Ranger Resources

Randy LaFollette

Baker Hughes

Marko Maucec

Chet Ozgen

Nitec

Tai Pham

EOG Resources

Bobby Poe

Schlumberger

Sathish Sankaran

Anadarko

Xian-Huan Wen

Chevron

Jose Villa

Anadarko

Important insights into reservoir characterization and field development optimization are provided through dynamic reservoir responses such as rate and pressure transients, single and inter-well tracer response, multiphase production history, fiber-optic in-well measurements, and time-lapse seismic data. The bulk of current industry experience in the calibration of geologic models for performance prediction and reservoir optimization comes from conventional reservoirs. In contrast, classical reservoir analysis techniques and data-driven methods for production data are common practice for unconventional reservoirs. The theme of this workshop is to look for synergies and opportunities in combining these seemingly disparate approaches and gleaning new insights into what can be learned from field data to optimize the development of both conventional and unconventional reservoirs.

COMMITTEE MEMBERS

17–18 November 2015 Hotel Galvez | Galveston, Texas, USA

Learning From Reservoir Response: History Matching and Production Data Analysis

Corporate Receptions

THANK YOU TO OUR SPONSORS

GENERAL INFORMATION

About Society of Petroleum EngineersThe Society of Petroleum Engineers (SPE) is a not-for-profit professional association for members engaging in oil and gas E&P, providing resources for technical knowledge. Income from this event will be invested back into SPE to support many other member programs. Scholarships, certification, the Distinguished Lecturer program, and SPE’s energy education program Energy4me are just a few examples.

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Workshop FormatWorkshops maximize the exchange of ideas among attendees and presenters through brief technical presentations followed by extended Q&A periods. Focused topics attract an informed audience eager to discuss issues critical to advancing both technology and best practices.

Many of the presentations are in the form of case studies, highlighting engineering achievements and lessons learned. In order to stimulate frank discussion, no proceedings are published and members of the press are not invited to attend.

28 – 29 October 2015 The San Luis Resort | Galveston, Texas, USA

TECHNICAL AGENDA MONDAY, 16 NOVEMBER1730-1900 | Welcome Reception

Oleander Garden

TUESDAY, 17 NOVEMBER All technical sessions are located in Music Hall Ballroom.

0700–0800 | Registration and Continental Breakfast Music Hall Ballroom Foyer

0800–0815 | Opening Remarks

0815–0945 | Session 1: Learning From History MatchingSession Chairs: Jose Villa, Anadarko

Xian-Huan Wen, Chevronn  Presentation 1: Probabilistic History Matching of a Deep

Water Field with Real-Time Production Data Under Geological Uncertainty Satyajit Taware, Chevron

n  Presentation 2: Challenges and Lessons Learned From History Matching in Unconventional Reservoirs Ruijian Li, Shell

n  Presentation 3: Assisted History Matching and Geoscience Workflows: What Are the Current Capabilities and Challenges? Nigel Goodwin, Essence Products and Services Ltd

0945–1015 | Coffee Break

1015–1145 | Session 2: History Matching - Workflows and New Technologies

Session Chairs: Marko Maucec Sathish Sankaran, Anadarko

n  Presentation 1: Improved Uncertainty Characterization for History Matching Using the “Big-Loop” Jincong He, Chevron Energy Technology Company

n  Presentation 2: History Matching for Unconventionals – It’s All About the Fractures Doug Jordan, Anadarko Petroleum

n  Presentation 3: Production History Matching and Model Calibration to Improve Completion Designs for Unconventional Assets Shameem Siddiqui, Halliburton

1145–1300 | Lunch Veranda

1300–1430 | Session 3: Learning from Empirical ModelsSession Chairs: Zhong He, Range Resources

Bobby Poe, Schlumberger n  Presentation 1: CRM for Unconventional Reservoirs

Irina Prestwood, Chevron

n  Presentation 2: Experiences with Proxy-Based Workflows in History Matching and Data-Analytics Alejandro Vazquez Martinez, Schlumberger

n  Presentation 3: Insight To Better Modeling: Learning For Empirical Models David Fulford, Apache Corporation

1430–1500 | Coffee Break

1500–1630 | Session 4: Machine Learning and Data Analytics in History Matching and Optimization

Session Chairs: Faruk O. Alpak, Shell International Exploration and Production, Inc. Tom Blasingame, Texas A&M University

n  Presentation 1: Data Driven Methodology for Production Prediction in the Eagle Ford Kathy Ball, Devon Energy Corporation

n  Presentation 2: Sweetspot Identification Workflow Using Machine Learning for Unconventional Plays Larry Lu, Shell

n  Presentation 3: Statistical Modeling of Functional Well Data Matthias Kormaksson, IBM

1630–1800 | Networking Reception Oleander Garden

Learning From Reservoir Response: History Matching and Production Data Analysis

17–18 November 2015 Hotel Galvez | Galveston, Texas, USA

Learning From Reservoir Response: History Matching and Production Data Analysis

WEDNESDAY 18 NOVEMBER0700–0800 | Continental Breakfast

Music Hall Ballroom Foyer

0800–0930 | Session 5: Data Driven Analysis of Production History

Session Chairs: Randy LaFollette, Baker Hughes Akhil Datta-Gupta, Texas A&M University

n  Presentation 1: Drainage Volume Characterization From Reservoir Production Data Mike King, Texas A&M University

n  Presentation 2: Data-Driven Modeling: Premises, Promises, and Perils Srikanta Mishra, Battelle

n  Presentation 3: Applications of Data-Physics Models to Steamflood Optimization of a Real Field Pallav Sarma, Tachyus

0930–1000 | Coffee Break

1000–1130 | Session 6: Learning From Rate and Pressure Transient Analysis

Session Chairs: Tai Pham, EOG Resources Ray Ambrose, NRG Carbon 360

n  Presentation 1: Performance Prediction Using a Variable-Rate/Variable-Pressure Approach Patrick Collins, DeGolyer and MacNaughton

n  Presentation 2: Where is the Value of Transient Well Data Erdal Ozkan, Colorado School of Mines

n  Presentation 3: Evolving Best Practices for Rate Transient Analysis of Unconventional Reservoirs Dave Anderson, NCS Multistage

1130–1300 | Lunch Veranda

1300–1430 | Session 7: Optimizing Unconventional PlaysSession Chairs: Chet Ozgen, Nitec

Jody Augustine n  Presentation 1: Stage Optimization Through Fluid

Diversion Brian Snider, Marathon Oil

n  Presentation 2: Advanced Data Analytics to Select Candidate Reservoir Models From Multiple Realizations Jeffrey Yarus, Halliburton

n  Presentation 3: Understanding the Effects of Well Interference With Infill-Well Development in the Eagle Ford Shale Richard MacDonald and Steve Geetan, EP Energy

1430–1500 | Coffee Break

1500–1630 | Session 8: Emerging Data Types in History Matching and Optimization

Session Chairs: Deepak Devegowda, University of Oklahoma Fady Chaban, Sanjel USA

n  Presentation 1: Continuous Seismic Monitoring for Pro-Active Reservoir Management in Thermal Enhanced Oil Recovery Development Jorge Lopez, Shell

n  Presentation 2: Fiber-Optic Technologies – Knowing Your Inefficiencies and Improving Them Dion Billard, Pinnacle Technologies

n  Presentation 3: Comprehensive Fracture Monitoring in the Cana Woodford Trey Lowe, Devon

POSTERSn  Production Analysis and Mechanistic Modeling for

Evaluation of Shale Play Prob Thararoop, Anadarko Petroleum Corporation

n  Limited Entry Perforations: Implications on Hydraulic Fracture Propagation and Well PerformanceJixiang Huang, Texas A&M University

n  A Direct Method for Stratigraphically Consistent Assisted History Matching of Object-Based Geomodels – Algorithm and Field ApplicationFaruk Alpak, Shell International Exploration and Production

n  Improving Unconventional Reservoir Factory-Model Development by an Integrated Workflow with Earth Model, Hydraulic Fracturing, Reservoir Simulation and Uncertainty AnalysisTan Tran and Baosheng Liang, Chevron

n  Statistical Multivariable Regression Analysis of Montney Shale Completion and Production PerformanceSimin Sadeghi, Texas A&M University

Learning From Reservoir Response: History Matching and Production Data Analysis

17–18 November 2015 Hotel Galvez | Galveston, Texas, USA

NOTES: ______________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

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2016 SPE EVENTSNOTES: ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

Learning From Reservoir Response: History Matching and Production Data Analysis

2016 SPE EVENTS

9–11 February SPE Hydraulic Fracturing Technology Conference

The Woodlands, Texas, USA

24-26 February SPE International Conference and Exhibition on Formation Damage Control

Lafayette, Louisiana, USA

1–3 March IADC/SPE Drilling Conference and Exhibition

Fort Worth, Texas, USA

15-16 March SPE Thermal Completions and Workover Operations Workshop

Calgary, Alberta, Canada

22-23 March SPE/ICoTA Coiled Tubing and Well Intervention Conference and Exhibition

Houston, Texas, USA

28–30 March SPE/SEG Workshop: Injection-Induced Seismicity – Engineering Integration, Evaluation,

and Mitigation

Fort Worth, Texas, USA

29-30 March SPE Production Chemistry and Chemical Systems Workshop

San Antonio, Texas, USA

9-13 April SPE Improved Oil Recovery Conference

Tulsa, Oklahoma, USA

12–17 June Key Factors for Success in Unconventional Reservoirs and Development Strategies Forum

San Antonio, Texas, USA

Learning From Reservoir Response: History Matching and Production Data Analysis

17–18 November 2015 Hotel Galvez | Galveston, Texas, USA

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