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Using Analytics to Improve Production

Understand reservoirs - monitor wells - make field development decisions
Keith R Holdaway
» Upstream Domain
» SAS Global Oil and Gas
Duncan Irving
» Oil and Gas Practice Lead (EMEA/APJ)
» Teradata

Tuesday, September 23, 2014
Doubletree by Hilton Hotel Aberdeen Treetops

You've probably heard about the promise of using analytics to work out the optimum way to improve production on your field. Our conference in Aberdeen on Sept 23rd explores how close this promise is to reality.

You can hear a case study about how data driven models were used to optimise production in a mature unconventional reservoir; learn from US experience using analytics to transform the way shale plays are drilled; the different ways to use analytics to optimise production and work out when to repair assets; and how to work out which wells are worth giving attention; how to make a fast comparison between multiple field development plans; and how to understand reservoirs using dynamical symmetry.

Our opening speaker is Keith Holdaway, principal industry consultant at SAS Institute, and author of a new book, "Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data Driven Models" published by Wiley in July 2014.

He is followed by Duncan Irving, Teradata Practice Leader, Oil and Gas [Europe, Middle East, Africa, and one of the industry's leading thinkers on the best ways to use analytics to achieve value. We also have speakers from EMC, LMKR, Communicative Algebra and Noah Consulting.

We have a partner event on the following day, 'using analytics to manage asset integrity'.

Limited tickets available for £25 + VAT

Academic tickets (student / lecturer) available for £5 with voucher code 'academic'


8:30 Welcome coffee
9:10 Karl Jeffery - Editor
Digital Energy Journal
Chair's introduction + safety briefing

Karl Jeffery is editor of Digital Energy Journal and managing director of Future Energy Publishing, which also publishes Tanker Operator magazine and Carbon Capture Journal. He was previously co-founder and editor of Digital Ship Ltd, a publishing company focussing on IT in the shipping sector. He has a BEng in chemical engineering from Nottingham University

Digital Energy Journal
Founded in 2006, Digital Energy Journal is the world's leading magazine for digital technology in the upstream oil and gas industry, covering developments in exploration, drilling and production, covering IT infrastructure, software, automation and people. We produce 6 issues per year, distributed by print and pdf, and an e-mail newsletter every Friday
9:15 Keith R Holdaway - Upstream Domain
SAS Global Oil and Gas
Case study; Using data-driven models to optimize production

Watch Video     View PDF   
Talk Description.
Production optimization is about leveraging and scaling the skills of the workforce; transforming the ways work is done collaboratively; and streamlining the key organizational pillars of people, processes and technologies.

Hydrocarbon accounting that addresses production volume auditing, loss management, forecasting and regulatory reporting are activities that can all benefit from analytical data-driven models geared towards production optimization.

Let us walk through a case study to illustrate the adoption of data-driven models in unconventional reservoirs that optimize production in a mature asset.
Mr Holdaway is author of "Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data Driven Models" published by Wiley in July 2014. He worked for several geophysical companies in his 15 year career, primarily at Petroleum Development of Oman as a geophysicist. He has worked over the past 15 years for SAS Institute to help harness SAS analytics to geophysical, geologic and reservoir engineering data to ascertain exploratory data analysis and appropriate modeling approaches to enable more robust forecasting and identify new field-reengineering strategies in mature assets. He has a Masters Degree in Geophysics from Durham University UK. He is a Fellow of the Geological Society in London.

SAS Global Oil and Gas
SAS provides solutions that enable the O&G industry to transform masses of data about your sub-surface, operations, reservoirs, fields, other assets, suppliers, contractors, risks, costs and profitability into strategic business intelligence—the fuel for competitive advantage.
9:45 Duncan Irving - Oil and Gas Practice Lead (EMEA/APJ)
Big data analytics for production: integrating the reservoir management disciplines

Talk Description.
- examples of integrating large and diverse data domains from the subsurface, reservoir and production domains.
I will explain some of the jargon from the big data analytics paradigm and show the reality of applying a big data analytics approach to tasks such as data mining and decision support.
- This emerging set of techniques of analysing all possible data can deliver high value and robust insight to support production decisions from operational to strategic timeframes.
Duncan Irving is the Teradata Industry Consultant for Oil & Gas in EMEA. Duncan joined Teradata from the University of Manchester where he instructed in geophysical interpretation and geocomputational methods for the last seven years. He was involved in consulting and research projects involving user interactions with massive subsurface datasets and more general upstream data management, and he continues to maintain research links as an honorary lecturer. One long term project was with Teradata and he drove the development of Teradata's capabilities in the Upstream Oil and Gas area. This time provided him with a deep understanding of the capabilities of Teradata and how they can best be used in the petroleum industry.
He is a geophysicist and also has a PhD in glacial geophysics and geotechnical engineering (why frozen ground moves faster during climate warming and how this affects infrastructure). Duncan lives in the hills outside Manchester with his wife and three children. He is a mountaineer, fell runner and is a card-carrying member of the CAMpaign for Real Ale.

Teradata helps companies get more value from data than any other company. Our big data analytics solutions and team of experts can help your company gain a sustainable competitive advantage with data. Teradata helps organizations leverage all of their data so they can know more about their business and do more of what's really important. With more than 10,000 professionals in 43 countries, Teradata serves top companies across oil and gas, utilities, automotive, financial services, healthcare, communication, sconsumer goods, and more. A future-focused company, Teradata is recognized by industry analysts for technological excellence, sustainability, ethics, and business value. Visit
10:15 Chris Lenzsch - Solutions Manager, Upstream Analytics
Improving production with life-cycle based analytics

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Talk Description.
To understand the potential impact of life-cycle based analytics on production and asset exploitation, we must first understand how these will be implemented when harnessing what is now popularly referred to as the “3rd Platform”, together with the associated new “Data Fabric” for embracing data of all types.

Truly scalable grid computing, cloud, virtualization, Hadoop, and other leading technologies have changed the architecture and infrastructure landscape, bringing the promised revolutionary benefits of an integrated oilfield and analytics solutions within reach and with clear business results.

As upstream moves towards attaining our 21st century business goals, the reality of the current situation is becoming clearer:
• the Digital Oilfield (DOF) has positioned us well for next step-change in Upstream operations, but has also failed to fulfill many of our lofty goal,
• harnessing the massive amounts of current and future data from key sources such as real-time streaming, operational data stores, and engineering applications and analytics across functions must be ubiquitous,
• true life-cycle management (well, field, asset, etc.) is critical for enabling agile business transformation, and
• the “business” will increasingly take a leadership position in petrotechnical initiatives, placing the demands of the end-users more squarely in the driver seat.

The above topics will be reviewed, followed by a case study discussion, demonstrating how a common DOF analytics solution approach can be practically extended across the exploration and production life-cycle through a Big Data 3rd Platform model and approach.
Chris Lenzsch is EMC’s Solutions Manager for Upstream Analytics. Chris started his career at Amoco Production Company gaining experience in the migration from the 1st Platform to the 2nd Platform and the associated data fabric switch to relational databases. For the past 10 years Chris has worked extensively in Digital Oilfield projects from FotF to iField to iOF to IOS to the Digital Asset. Chris recently left Halliburton Landmark to join EMC to help enable the uptake of the 3rd Platform and new Data Fabric for improved data utilization, cross-functional collaboration and bottom-line results.

EMC specializes in mission-critical communications and content for organizations and people on the move in the most remote locations. At sea, on land and in the air, the company provides seamless, reliable connectivity and access. EMC leverages its wholly-owned and operated satellite-terrestrial-cellular broadband network with fully meshed Multiprotocol Label Switching (MPLS) interconnected teleports. The company delivers mission-critical communications, Internet, live TV, on-demand video, voice, cellular and 3G/LTE services worldwide. EMC operates in 140 countries and runs 52 global field support centers. The established EMC team, in business for 35 years, with unprecedented infrastructure and 20+ patented technologies, delivers industry firsts time and again. EMC hires and trains its own field engineers to flexibly deploy support quickly around the world. The company tailors its services for the most demanding users of mission-critical applications for the following sectors - energy; cruise and ferries; yachts; commercial shipping; mobile network operators; government; the United Nations (UN) and non-governmental organizations (NGOs); and global enterprises. For more information, visit
10:45 Coffee
11:15 Scott Oelfke - Product Manager, R+D
Discover your potential with advanced field planning

Talk Description.
Quickly generate proposed wellbore trajectories, analyze multiple field plan scenarios and view planned wells and fence diagrams in an advanced 3D environment.

Scott will demonstrate a map-based field planning module for the development of field plans on surfaces well ahead of the drill bit, thus reducing planning cycle time.
Over 18 years’ experience with GeoGraphix;
B.S. in Geological Engineering
M.S. in Geological Engineering

Founded in 1994, LMKR is a petroleum technology company with an extensive solutions portfolio that includes reservoir-centric interpretation, modeling and analytics software, mobile technology solutions, E&P data services as well as geoscience and informat
11:45 Henk Poulisse - Mathematical Consultant
Communicative Algebra
Production analytics based on dynamical symmetry

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Talk Description.
Understanding reservoirs based on equations of motion / momentum / conservation of energy, extracted from the data rather than using a pre-defined model structure
Henk Poulisse was principal research mathematician with Shell Research in Rijswijk from 1985 to 2010. He was involved in the Algebraic Oil project from 2005 to 2010 which developed a new subdiscipline in algebra, called Approximate Commutative Algebra.

Communicative Algebra

12:15 Fred Kunzinger - Senior Principal
Noah Consulting
Using analytics to transform the way we drill and produce more shale plays - Are we doing the right things and are we doing them the right way?

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Talk Description.
The challenges of drilling more wells to meet growing production targets in an unconventional drilling factory model, decreasing environmental footprints and bridging the Big Crew Change’s experience turnover, means that what is good today, may not be good enough for tomorrow.

While the assembly line was institutionalized by Henry Ford a little more than 100 years ago, it is just now making its mark on the oil and gas industry. Historically, much of the data required to optimize the assembly line in shale production ? dates, the time gaps between them, and the causes of those gaps ? has been neglected or not treated as important in larger offshore projects that simply do not have the same challenges. Shorter production cycles are not a priority for offshore; but, in shale, time to market is a real issue. Shale wells tend to lose 2/3 of their production in the first 2 years vs. offshore wells, which routinely produce for 30 years. For example, by understanding the time it takes between the well having been completed and being put online, then reducing this time by 2 days per well, would result in 720 days a year, assuming 30 wells are drilled per month. This is a substantial amount of potential production time wasted. Accurately collecting this information and making it available for analytical use becomes the basis for optimization scenarios.

More timely analysis to the causes of NPT (or non-productive time) in drilling operations will give an operator greater insight to areas that need improvement and areas where this insight can produce real bottom line value.

You may have a remote drilling operations center to help you drill faster wells, but do you have a business process monitoring capability to help you create a faster time to value?
Fred is a Senior Principal and Upstream Subject Matter Expert with Noah Consulting. Prior to joining Noah in the summer of 2012, Fred retired from Hess Corporation where he worked for nearly 23 years with postings in Tulsa, London and Houston, his most recent position being that of Senior Manager for Global Data Management. He’s been a PPDM Board member for six years and served as the Chairman of the Board of the Association in 2013.

Fred has a B.S. in Geology from Notre Dame and an M.S. in Geology from Old Dominion. Previous positions included time with Phillips Petroleum as well as the Defense Mapping Agency (a predecessor to the Geospatial Intelligence Agency). In 2011, Fred was a recipient of the Upstream Data Management Cornerstone Award at the 15th International Conference on Petroleum Data Integration, Data and Information Management, and has presented papers at the PPDM and PNEC Conferences as well as the Keynote at the 2011 TGS GeoForum in Houston. In his spare time, Fred enjoys golf and working with Habitat for Humanity.

Noah Consulting
Whether you are making a decision about asset management or governmental compliance, chances are good that the answers reside within your enterprise today. But can you quickly access that information? Re-creating or re-purchasing the data can be costly, error prone and time consuming. If you do have the data readily available are you able to extract and aggregate it from the various formats and systems across your enterprise and analyze it in order to make critical business decisions? Noah can.
12:45 Panel discussion with all morning speakers
13:15 Lunch and close
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