8th to 12th of May: Advanced Petrophysics in our Aberdeen offices, with Edward Downer as your instructor!
Participants will learn how to organisedata, plan and report petrophysical studies. The integration of log and core datasets to describe the variation and distribution of reservoir properties in multiple wells will also be covered
Options for petrophysical interpretation including mineral volume methodologies, shaly sand and thin bed techniques are examined. The principles of NMR logging and its application to specifc interpretation challenges will also be covered
Reservoir simulation is a sophisticated technique of forecasting future recoverable volumes and production rates that is becoming commonplace in the management and development of oil and gas reservoirs, small and large. Calculation and estimation of reserves continues to be a necessary process to properly assess the value and manage the development of an oil and gas producer’s assets. These methods of analysis, while generally done for different purposes, require knowledge and expertise by the analyst (typically a reservoir engineer) to arrive at meaningful and reliable results. Increasingly, the simulation tool is being incorporated into the reserves process. However, as with any reservoir engineering technique, certain precautions must be taken when relying on reservoir simulation as the means for estimating reserves. This discussion highlights some of the important facets one should consider when applying numerical simulation methods to use for, or augment, reserves estimates. The main take away will be an appreciation for the areas to focus on to arrive at meaningful and defendable estimates of reserves that are based on reservoir models.
In low oil-price environments, it is customary to cut expenses, reduce staff, and postpone most, if not all, capital investments. While this strategy may be financially sound in the short term, it is ineffective in the long run, particularly for companies with the need to sustain production levels or to replace reserves through drilling, production or reservoir projects. Heavy oil projects are usually more challenging, as production costs are higher and the oil price is even lower.
This presentation addresses the dilemma of controlling cost and at the same time sustaining production and increasing recovery. A balance can be struck by focusing on the quality of decisions, such as when and where to invest, and ensuring that projects are delivered on- budget, a common issue in the E&P industry. The central idea in this presentation is that, in the most complex and financially challenging case of Enhanced Oil Recovery (EOR) projects, the combination of quality decision making and the implementation of “fit-for-purpose” technology offers the most promising middle-point. By providing eight examples of innovative technologies to help reduce uncertainty, cost and time for delivering commercial EOR oil, and three successful case studies, the audience will gain confidence in the proposition that it is perfectly viable to double recoveries for many of our fields in the next 15 years, even in the current price scenario.
Finally, EOR is a business, and as such it needs to compete favorably with other businesses in a company’s E&P portfolio - challenging in low oil price environments. The lecture will close by presenting a strategy, illustrated with an example, on how to divert from the traditional engineering approach in favor of a managerial decision approach, that will help engineers to justify viable recovery projects.
Big Data is an emerging technology in Information Management that holds promising returns on investment, as it can provide advanced analytics capabilities. It is well suited for large enterprises, and when used properly, it can lead to breakthroughs in analytics, deriving information from data that was previously not possible. However, a Big Data project cannot be approached using traditional IT system design and methods. Its success relies on teamwork and collaboration among petroleum engineering subject matter experts, senior IT professionals, and data scientists. To ensure that Big Data initiatives do not deliver poor results or disappoint, Big Data projects require significant preparation, which dramatically increases the chances of success. This presentation provides practical information about how to get started and what to consider in your plan, and it gives useful tips and examples for planning and executing a Big Data project. At the end of the presentation, attendees will know what Big Data is, what it offers, how to plan such projects, what the roles and responsibilities are for the key project members, and how these projects should be implemented to benefit their organization. Big Data analytics offers enterprises a chance to move beyond simply gathering data to analyzing, mining, and correlating results for insights that translate into business solutions.
Petrophysics and Big Data by Elephant Scale training and consultinelephantscale
Presented at the annual petrophysics software (SPWLA) show in Houston, TX, by Mark Kerzner. How Oil & Gas should approach Big Data, and how Elephant Scale can help in training and implementation.
8th to 12th of May: Advanced Petrophysics in our Aberdeen offices, with Edward Downer as your instructor!
Participants will learn how to organisedata, plan and report petrophysical studies. The integration of log and core datasets to describe the variation and distribution of reservoir properties in multiple wells will also be covered
Options for petrophysical interpretation including mineral volume methodologies, shaly sand and thin bed techniques are examined. The principles of NMR logging and its application to specifc interpretation challenges will also be covered
Reservoir simulation is a sophisticated technique of forecasting future recoverable volumes and production rates that is becoming commonplace in the management and development of oil and gas reservoirs, small and large. Calculation and estimation of reserves continues to be a necessary process to properly assess the value and manage the development of an oil and gas producer’s assets. These methods of analysis, while generally done for different purposes, require knowledge and expertise by the analyst (typically a reservoir engineer) to arrive at meaningful and reliable results. Increasingly, the simulation tool is being incorporated into the reserves process. However, as with any reservoir engineering technique, certain precautions must be taken when relying on reservoir simulation as the means for estimating reserves. This discussion highlights some of the important facets one should consider when applying numerical simulation methods to use for, or augment, reserves estimates. The main take away will be an appreciation for the areas to focus on to arrive at meaningful and defendable estimates of reserves that are based on reservoir models.
In low oil-price environments, it is customary to cut expenses, reduce staff, and postpone most, if not all, capital investments. While this strategy may be financially sound in the short term, it is ineffective in the long run, particularly for companies with the need to sustain production levels or to replace reserves through drilling, production or reservoir projects. Heavy oil projects are usually more challenging, as production costs are higher and the oil price is even lower.
This presentation addresses the dilemma of controlling cost and at the same time sustaining production and increasing recovery. A balance can be struck by focusing on the quality of decisions, such as when and where to invest, and ensuring that projects are delivered on- budget, a common issue in the E&P industry. The central idea in this presentation is that, in the most complex and financially challenging case of Enhanced Oil Recovery (EOR) projects, the combination of quality decision making and the implementation of “fit-for-purpose” technology offers the most promising middle-point. By providing eight examples of innovative technologies to help reduce uncertainty, cost and time for delivering commercial EOR oil, and three successful case studies, the audience will gain confidence in the proposition that it is perfectly viable to double recoveries for many of our fields in the next 15 years, even in the current price scenario.
Finally, EOR is a business, and as such it needs to compete favorably with other businesses in a company’s E&P portfolio - challenging in low oil price environments. The lecture will close by presenting a strategy, illustrated with an example, on how to divert from the traditional engineering approach in favor of a managerial decision approach, that will help engineers to justify viable recovery projects.
Big Data is an emerging technology in Information Management that holds promising returns on investment, as it can provide advanced analytics capabilities. It is well suited for large enterprises, and when used properly, it can lead to breakthroughs in analytics, deriving information from data that was previously not possible. However, a Big Data project cannot be approached using traditional IT system design and methods. Its success relies on teamwork and collaboration among petroleum engineering subject matter experts, senior IT professionals, and data scientists. To ensure that Big Data initiatives do not deliver poor results or disappoint, Big Data projects require significant preparation, which dramatically increases the chances of success. This presentation provides practical information about how to get started and what to consider in your plan, and it gives useful tips and examples for planning and executing a Big Data project. At the end of the presentation, attendees will know what Big Data is, what it offers, how to plan such projects, what the roles and responsibilities are for the key project members, and how these projects should be implemented to benefit their organization. Big Data analytics offers enterprises a chance to move beyond simply gathering data to analyzing, mining, and correlating results for insights that translate into business solutions.
Petrophysics and Big Data by Elephant Scale training and consultinelephantscale
Presented at the annual petrophysics software (SPWLA) show in Houston, TX, by Mark Kerzner. How Oil & Gas should approach Big Data, and how Elephant Scale can help in training and implementation.
PetroSync - Integration of Petrophysics and Core AnalysisPetroSync
During this course concepts of core preparation, core measurement, core analysis types and procedures will be explained. The petrophysical rock properties such as porosity, permeability, saturation and porosity-permeability relations will be studied. The relationships between these parameters under in situ conditions will be discussed. The measurements and physics of well logging tools to methods for interpretation of these parameters will be applied. The understanding of well logging environments will be addressed.
The trainer will provide the relationship between core analysis data and logging measurements for depth matching, understanding abnormal log readings and to obtain different petrophysical parameters.
I am an Environmental Engineer having more than 10 years of experience in environmental consultancy, municipal government and teaching / research institutions focussing on water and wastewater engineering, environmental impact assessment, environmental monitoring and assessment, water and wastewater reclamation, reuse and treatment.
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During this course concepts of core preparation, core measurement, core analysis types and procedures will be explained. The petrophysical rock properties such as porosity, permeability, saturation and porosity-permeability relations will be studied. The relationships between these parameters under in situ conditions will be discussed. The measurements and physics of well logging tools to methods for interpretation of these parameters will be applied. The understanding of well logging environments will be addressed.
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1. Working together
for a safer world
Aims
Petrophysics is fundamental to
understanding the properties of oil and
gas fields. It lies at the centre of all
subsurface activities: whether in the
context of open-hole operations on new
drill wells, cased-hole operations on
producing wells or in an integrated team
building reservoir models for asset
evaluation, field development or
reservoir management.
In this course, emphasis will be placed
on the integration of all available data,
understanding the context in which the
data are acquired and selection of
appropriate methods and parameters.
Common pitfalls, encountered in the
interpretation process, and their
consequences, will be identified.
Interpretation exercises are an important
element of the course.
Benefits
You will learn:
• The role of petrophysics
• Definitions of the main petrophysical
parameters
• Capillarity, fluid distribution, free
water level and fluid contacts
• Logging tool measurement principles
and the effect of the borehole
environment
• Log data quality assurance
• Quick-look log interpretation
• Data preparation, database
construction and environmental
corrections
• Deterministic petrophysical
interpretation in clean and shaly sands
• Deterministic interpretation in
carbonates
• Reporting and delivering results to
other disciplines
Who should attend?
Reservoir engineers, geoscientists,
petrophysicists and others involved in
the oil and gas subsurface management
life cycle, with some experience in
formation evaluation, who wish to
broaden their practical knowledge and
understanding of petrophysical data
acquisition, quality control and
interpretation. Also numerate graduate
entrants to these disciplines.
Duration – 4 days
Course instructors
This course will be presented by Ed
Downer.
Ed is Discipline Head of Petrophysics at
Lloyds Register (LR) and holds a BEng
(Hons) Chemical Engineering from
Nottingham University and a MSc
Reservoir Evaluation and Management
from Heriot Watt University. He has a
broad background encompassing
operations, training, technology,
software and consultancy.
Following graduation from Nottingham
University in 1996, Ed joined Western
Atlas (now Baker Hughes) as a wireline
field engineer gaining operational
experience in the North Sea, US, West
Africa and the South Atlantic.
Determinstic Petrophysics
Training