Dear members,
We would like to invite you and your colleagues to the March London Section evening meeting for lectures on well test analysis, and maximising value of mature assets. This event will be held at Imperial College, Royal School of Mines, Prince Consort Road, London, SW7 2BP. The Royal School of Mines is about 15 minutes walk from South Kensington tube station via Exhibition Road and Prince Consort Road. Please, read more about the agenda, the talk content, and the booking information below.
Regards,
Tim Lines
SPE London Section – Programme Chairman
Email: tim.lines@oilfieldinternational.com
Agenda
Time: 5.00 pm 6.30 pm
Talk1: Everything You Always Wanted to Know About Well Test Analysis but Were Afraid To Ask.
Professor Alain Gringarten, Imperial College.
6.30 pm – 7.15 pm DRINKS AND NETWORKING BUFFET
Time: 7.15 pm 8.45 pm
Talk2: Integrated Historical Data Workflow: Maximizing the Value of a Mature Asset.
Anne Valentine, Distinguished Lecturer and Principal Instructor Production Engineering, Schlumberger.
Venue
The event will be held at the Department of Earth Science and Engineering, Imperial College London
Map available here.
Directions: Please note the main entrance to the Department is via the Royal School of Mines Building on Prince Consort Road, between 10 and 12 on the campus map
Booking
All booking must be paid in advance and online please
Book via Eventbrite
Email: katespe@aol.com
Talk Details
BEFORE DINNER: 5:00 pm – 6:30 pm
Everything You Always Wanted to Know About Well Test Analysis but Were Afraid To Ask.
Professor Alain Gringarten, Imperial College
This presentation explains why new Well Test Analysis methods have increased the information that can be extracted from well test data, and the confidence in that information. WTA is used to assess well condition and estimate reservoir parameters. Its heyday was from the late 1960s to the early 1980s with new methods (pressure and derivative log-log analysis) which were easy to use and better than the semi-log straight line methods that had prevailed until then.
Nowadays, WTA potential contribution to reservoir knowledge has never been greater, yet interest in it seems to have faded. One reason is that the latest new techniques (single and multiwell deconvolution) require software and are perceived as too complex. This fear of complexity is compounded by WTA being often taught as basic and advanced which is mistaken for practical and esoteric. Another reason is the removal of regulatory requirements, the decrease in the number of wells drilled and tested, and the disappearance of formal WTA teams in many oil companies following the recent oil price drop.
The presentation reviews the evolution of WTA techniques during the past half century and shows how successive major improvements occurring 20 years apart have enhanced the ability to identify well test interpretation models, discriminate between alternative models, and verify the consistency of the analysis. Field examples are presented to illustrate the most recent developments, such as deconvolution (both on single wells and on multiple interfering wells), evaluation of uncertainties, and analysis of reservoirs with complex geometries and complex fluids.
Alain C. Gringarten is Emeritus professor of petroleum engineering and Senior Research Investigator at Imperial College London. A recognized expert in well test analysis, he has over one hundred publications and received several SPE awards (2009 North Sea Regional Service; 2004 Cedric K. Ferguson certificate; 2003 John Franklin Carll award; and 2001 SPE Formation Evaluation). A SPE member since 1969, he was elected a Distinguished member in 2002, a Honorary member in 2009 and was a 2003-2004 Distinguished Lecturer. He holds petroleum engineering MSc and PhD degrees from Stanford University; and an engineering degree from Ecole Centrale Paris, France.
AFTER DINNER: 7.15 pm – 8.45 pm
Integrated Historical Data Workflow: Maximizing the Value of a Mature Asset.
Anne Valentine, Distinguished Lecturer and Principal Instructor Production Engineering, Schlumberger
Industry studies show that mature fields currently account for over 70% of the worlds oil and gas production. Increasing production rates and ultimate recovery in these fields in order to maintain profitable operations, without increasing costs, is a common challenge. This lecture addresses techniques to extract maximum value from historical production data using quick workflows based on common sense. Extensive in-depth reservoir studies are obviously very valuable, but not all situations require these, particularly in the case of brown fields where the cost of the study may outweigh the benefits of the resulting recommendations.
This lecture presents workflows based on Continuous Improvement/LEAN methodology which are flexible enough to apply to any mature asset for short and long term planning. A well published, low permeability brown oil field was selected to retroactively demonstrate the workflows, as it had an evident workover campaign in late 2010 with subsequent production increase. Using data as of mid-2010, approximately 40 wells were identified as under-performing due to formation damage or water production problems, based on three days of analyses. The actual performance of the field three years later was then revealed along with the actual interventions performed. The selection of wells is compared to the selection suggested by the workflow, and the results of the interventions are shown. The field’s projected recovery factor was increased by 5%, representing a gain of 1.4 million barrels of oil.
Anne Valentine is a Principal Instructor for Production Engineering at Schlumberger. She has 35 years of experience in Canada and France in well and reservoir performance analysis, particularly related to waterflooding, unconventional reservoirs and candidate recognition for production enhancement. She built her expertise in performance analysis workflows and software through working on the Cold Lake heavy oil field as a reservoir and field engineer at Esso Resources Canada Limited, then consulting for Halliburton before joining Schlumberger in 2001. A graduate in Chemical Engineering from Queens University in Canada, she has co-authored papers on analysis techniques for polymer floods, waterflood optimization and shale gas forecasting.