Transforming Subsurface Science!
Competitive advantage lies in applying new technologies not re-doing old ones!
£50
FEATURED SPEAKERS
Alan Smith
»
» Luchelan Ltd
Andrew Zolnai
» Owner
» Zolnai.ca
Dr Duncan Irving
» Practice Partner, oil and gas
» Teradata
Luther Birdzell
» Founder & CEO
» Oil& Gas Analytics
Full Agenda
Monday, April 18, 2016
London
The Geological Society
Download our report from this conference
Ultimately, subsurface Science can be summarised as “drilling profitable wells”.
The key is to learn how to do this in a predictable, repeatable way (as opposed to drilling ‘on trend’; in a pattern; or effectively randomly).
We can classify the available methodologies as one of:
- Rule-Driven Interpretation
- Data Mining (using Analytics)
- Modelling & Inversion
Rule-Driven Interpretation
Well-established ‘rules’ have been proven for Stratigraphy, Structural Geology, Sedimentology and describing Petroleum Systems (especially by creating GDE, CRS and CCRS maps). Nowadays these ‘rules’ are most commonly applied through seismic data, especially 3D seismic data.
The key ‘technologies’ are a) large quantities of inexpensive multi-client 3D seismic and b) commoditised interpretation workstations.
In truth, this methodology has now become completely commoditised: little commercial advantage accrues from getting it right, simply disadvantage flows from incompetent execution.
Thus, if future competitive advantage is to be found, it must lie in either Data Mining – applying Analytics to data sets that are so large that they do not allow easy interpretations by humans - or Modelling & Inversion – especially those using and/or integrating more powerful geophysical technologies than towed streamer 3D seismic!
Thus it is on these two topics that we seek presentations at our April 18th Forum.
Please contact David Bamford if you have an idea or two you wish to share!
To receive a sponsorship or exhibit proposal please contact our sales manager Richard McIntyre on rmcintyre@d-e-j.com, tel +44 208 150 5296
Note - we are exploring a similar topic in Aberdeen on May 4, in our conference "Subsurface IT and competitive advantage"
Duncan Irving is the Oil & Gas Consulting Team Lead, EMEA & APAC with Teradata. 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
Teradata is the world's largest company solely focused on creating enterprise agility through databa
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Talk Description
- Why wait for your data when you can get to it in a matter of minutes
- Systems which enable fast delivery of bulk seismic data direct to your workstation
- The future - take your workstation to the data
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Interim manager at CIO level specialising in strategy development and planning in the oil and gas E&P industry. Experience includes Data Management, Information Management, Knowledge Management, Business process analysis, system selection and implementation management, project and programme management.
Specialties: Expert knowledge of E&P industry systems and processes, Interim management roles undertaken as IS Manager / Departmental CIO in E&P organisations
Luchelan Ltd
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Technical competences:
- Seismic data pre-conditioning
- Basic Petrophysical Interpretation
- Time Interpretation (mainly stratigraphic interpretation)
- AVO Analysis
- Seismic inversion (deterministic and stochastic)
- Litho/Fluid prediction
- Seismic anisotropy estimation
- Pore Pressure Prediction
Specialties:Management, Technical supervision, Sales and Marketing, Business development, Recruitment
PGS
PGS is a leading, international, marine geophysical company. Our business is technology driven and w
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Talk Description
•new venture in resource management to use ‘business process first’ approach
•use 'mind mapping on steroids' as a talking point to help asset teams determine or enhance workflows in resource planning & operation
•Outcomes include, but not restricted to, innovative and affordable 3D and web solutions
•a ‘freemium’ model helps start with small wins, and then ramp up to successful implementations
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Andrew Zolnai promotes web mapping and volunteer geo info at Zolnai.ca. For almost a decade in EMEA he held geospatial lead and subsurface integration positions. The prior decade in the US he was petroleum manager with Esri and senior consultant Landmark Halliburton. His first decade in Canada he held various positions in petroleum data management, GIS and field mapping. He is Certified Petroleum Geologist with over a dozen refereed and industry publications.
Zolnai.ca
We help you sketch out your information supply chain. Map your people, processes & Technology in a s
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Talk Description
- Legacy data mountain > 100 yrs high
- 80% of worlds producing fields > 30 years old i.e from a pre-digital age
- Optimal, Secondary, Tertiary , Enhanced Recovery techniques require access to all historical legacy data & information
- High % of such data is analogue, unstructured and unindexed; therefore unused/by-passed as too difficult to find/integrate/mine
- The Major Oil Co’s have massive legacy data archives full of lost knowledge & insight that could be used to validate and evaluate new hydrocarbon plays
- Legacy data is often key in any M&A due diligence process and asset valuation. It allows full data/information audit/validation.
Shared LAN file systems continue to be an integral part of most operational E&P project IM/DM environments,
and the main file I/O and exchange location. They also contain that legacy hard to discover data.
Data mining requires structure and currently intensive data preparation (clean up).
The paper gives an insight as to how such legacy can be first discovered, then prepared for data mining & analytics.
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Hampton Data Services (HDS) was established in 1991, as a geotechnical data processing company speci
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Duncan Irving is the Oil & Gas Consulting Team Lead, EMEA & APAC with Teradata. 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
Teradata is the world's largest company solely focused on creating enterprise agility through databa
More... | |
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Luther Birdzell is a seasoned technologist with a fifteen-year track record of delivering transformational value at the confluence of process and technology.
Oil& Gas Analytics
OAG Analytics delivers the value of big data, machine learning, and predictive analytics to the upst
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