WA

WA Tech Night - PSDM in relatively benign on-shore settings

Wednesday, November 13, 2019
1730
1900

Date = Wednesday 13 November

Time = 530 to 7pm

Venue = Celtic Club, West Perth WA

Title = PSDM in relatively benign on-shore settings

Speaker = Marianne Rauch, TGS

 

Abstract:

Off-shore, depth imaging has been performed for a long time, especially to improve imaging around salt domes and faults. However, conventional wisdom dictates that in geological benign areas, it is not necessary to pre-stack depth migrate the data and stretching from time to depth is enough. A majority of the unconventional reservoirs are in geological less complex areas and this argument could be valid. We are presenting our thoughts why this is not correct and why applying a well-executed PSDM is worth the effort.

 

In many on-shore unconventional basins worldwide, the general geology around the tight reservoirs is nearly flat but the velocity and anisotropy within these layers can change rapidly laterally. PSTM velocities are based on hyperbolic assumptions and the ability to accurately image these changes are limited. In addition, it is crucial to solve the velocities in the near surface for accurate ray tracing but nearly impossible to do in the time domain. These issues can produce incorrect depthing and lateral positioning of the seismic events. A well-performed PSDM will result in an amplitude preserved dataset that has a higher resolution and can be used for geo-steering and attribute calculation which will further enhance the knowledge of the reservoir space. 

 

Speaker Bio:

Marianne received her PhD in Physics in 1985 from Uni Graz in Austria. She started her oil career as research assistant at Curtin University in Perth, Australia 30 years ago and has been active in geophysics ever since then. Marianne lived in many places and worked on-shore and off-shore basins all over the world. Her main specialties are DHI, seismic processing, depth migration, potential fields and researching new technologies, methodologies. She likes to do applied research, mentor and teach and is a seasoned presenter at conventions and workshop. She has published a good number of articles on several subjects and still is passionate about geoscience and the thrill to get more and unique information out of geophysical measurements that help drilling more successful wells. Currently, she is the Principal Technical Advisor, multi-client, onshore, TGS, Houston.

WA Tech Night - What is that anomaly? Using machine learning to obtain geological knowledge from downhole petrophysical data

Wednesday, October 9, 2019
1730
1900
Date = Wednesday 9 October
Time = 530 to 7pm
Venue = Celtic Club, West Perth WA
Title = What is that anomaly? Using machine learning to obtain geological knowledge from downhole petrophysical data
Speaker = Mark Lindsay, Senior Research Fellow, CET, UWA

 

Abstract:

Machine learning encapsulates methods that enable computers to learn and act as humans, while continuously improving their learning over time in an autonomous manner. The process of continuous improvement is a key advantage of machine learning, and is achieved via access to larger datasets and information. Unsupervised machine learning methods are particularly adept at analysing large and diverse datasets to find commonalities between attributes and produce 'clusters', or groups of data points that share similar characteristics. These techniques appear adaptable for geoscientific data, with uptake by practitioners being high in recent years. A geophysical study of the Eastern Yilgarn, Yamarna region, was supported by analysis of drillcore using machine learning, and attempted to obtain more geological knowledge from the measured data. Five drill cores are analysed in the M476 Project; 12DHDD0001, 12DHDD0002, 15EIS001, 15SYDD0003B and 15SYDD0004. Analyses produced some expected associations between rocks and petrophysics (high density and basalt) while some unexpected associations were also obtained (conductivity and quartz). These and other results will be presented, and examples of how these can be used to support structural geophysical interpretation will be discussed. This work was supported by the Mineral Research Institute of Western Australia, the Geological Survey of Western Australia and Gold Road Resources.

Speaker Bio:

Mark Lindsay is a Senior Research Fellow at the Centre for Exploration Targeting, School of Earth Sciences, the University of Western Australia (UWA) and specialises in structural geophysical interpretation, integrated geoscientific and 3D modelling with an interest in understanding their interrelated uncertainties and the value-of-information. He also has research interests that include investigating complex systems and mineralisation. Machine learning and AI are also disciplines Mark attempts to use to answer geological questions. Mark is co-leader of the Automated 3D modelling model of the 'MinEx' Co-operative Research Centre, a science leader in the Loop 3D geological modelling consortium.

ASEG-PESA WA: 32nd Annual Golf Classic: Joondalup Resort

Friday, December 6, 2019
0830
2100

ASEG-PESA 32nd Annual Golf Classic: Joondalup Resort Golf Course

The ASEG-PESA Annual Golf Classic is one of the most pleasant and well-attended oil and mineral industry golf tournaments held in Perth with recent years enjoying attendances of 100+ players.

This years tournament will be hosted at Joondalup Resort, on Friday 6th December 2019. The Joondalup Resort golf course, designed by the internationally renowned Robert Trent Jones Jr, presents a tough, uncompromising layout, featuring great variation in setting and style. The spectacular golf course in Perth sweeps across dense bushland, cuts through steep limestone quarries and skirts picturesque lakes, to present surprises and challenges at almost every turn. One minute you are playing an approach shot beneath a 30-metre limestone cliff, the next you are adapting to the fresh ocean breeze on an undulating links style fairway.

After the charity success from the 2018 Classic, ASEG-PESA has decided to partner again with our charity of choice, Parkerville Children and Youth Care. The charity is a 115-year-old non-for-profit organization, based here in WA. With 1/4 girls and 1/6 boys affected by child abuse and trauma by the age of 18, Parkerville has a huge role within our community; to raise awareness of child abuse, provide services for those in need and grow the network of support in providing a future for our WA children, young people, and families. As a proud supporter of the charity, we will run the day to raise as many funds as possible and are inviting your company to take part in it. There will be a silent auction, competitions, prizes, and raffle.

Itinerary:

Teams of 4 will play ambrose rules, and mystery hole handicap weighting’s applied. The schedule for the day will be as follows:

8:30am: Coach departs Hay street across from Holiday Inn, Perth City
10:00am: Coach arrives at Joondalup Resort Golf Course
10:00am: Registration and allocating of players to carts – cart labels with individual names
10:30-11:30am: Chipping competition
11:00-11:50am: Light barbecue prior to start
11:50am: Briefing from pro shop staff
12:00pm: Shotgun start with escort to appropriate holes
4:30pm: Approximate finish
4:30pm: Drinks from bar
6.00pm: Buffet dinner
9:00pm: Coach departs for Perth

Ticket Prices:

Member (ASEG or PESA): $160.00

Non-Member: $210.00

Registrations open 26th August at 12:00pm (AWST). Book now to avoid disappointment as tickets are strictly limited

 

We kindly thank the following sponsors for supporting this event:

For sponsorship opportunities contact kelly@lacunasearch.com or scott.moore@geosoft.com

 

 

ASEG-WA: Networking Workshop

Thursday, May 30, 2019
17:00
19:00

The Joint Industry Mentoring Program is hosting a Networking Workshop open to all ASEG members on May 30th and will feature a presentation by Ron Gibson (https://gonetworking.com.au/). After the workshop, networking will never be the same. You will be equipped with tools to make your efforts very effective and efficient. You will have some strategies to use and an in depth understanding of how to build out your network.

 

Ron Gibson (GoNetworking) is a creative, on-the-edge speaker whose expertise on in-person and referral marketing is well renowned. Known for presentations, seminars and keynote addresses that are funny, insightful and blunt. Real world, hitting the nail squarely on the head, Ron gives his audience information they can use right away to make more sales, close more business and build relationships.

 

NOTE: Complementary food will be provided, and the venue will have a cash bar for members to purchase beverages.

 

REGISTER here: http://www.spe-wa.org/event/industry-mentoring-workshop-networking/

WA Tech Night: The Growth of Automation in Marine Seismic Acquisition and Processing

Wednesday, July 10, 2019
17:30
19:00

The Growth of Automation in Marine Seismic Acquisition and Processing

Andrew Long 

(Chief Scientist & Technology Analyst, PGS)

 

Oil and gas exploration is one of countless industries starting to embrace digitalization platforms, robotization, and various other forms of automation to improve the efficiency of the related processes involved in how the data are delivered. Some grandiose proposals in industry forums today include seismic processing-to-drilling workflows with timeframes of only a few days being achievable. I present several examples of how autonomous robotization is augmenting marine seismic acquisition, the use of simulation and remote control facilities for managing field operations, current bottlenecks to real time acquisition and processing, directions in AI and deep learning for seismic processing and imaging (including analogues to the minerals industry), and consider the challenges of significantly reduced human interaction to the management of future projects. This presentation is designed as a broad overview rather than presenting commercial solutions.

 

Andrew Long has a B.Sc. in physics and geophysics from Melbourne University, a PGrad.Dip.App.Physics in petroleum geophysics from Curtin University, and a Ph.D. in geophysics from the University of Western Australia. His career includes experience with land seismic acquisition and processing, satellite altimetry R&D for producing marine gravity products, and postdoctoral research in seismic imaging and crustal geophysics at Stanford University, before joining PGS in 1997. He is now Chief Scientist and Technology Analyst, with interests in most areas of seismic technology and the interpretation of geophysical data. Andrew was an SEG Honorary Lecturer for the Pacific South region in 2009; has presented various courses on seismic-related geophysics for the SEG, EAGE and ASEG; and is a member of ASEG, PESA, EAGE, SEG and SEAPEX.

Please register using the link below:

Register Here

WA Tech Night: Recent advances in land seismic acquisition technology

Wednesday, June 12, 2019
17:30
19:00

Recent advances in land seismic acquisition technology

Dr Tim Dean 

 

(Research Fellow - Curtin University, Exploration Geophysics)

 

Despite a downturn in the land seismic acquisition industry the pace of technical innovation has not slowed; in just the last four years there have been ten new land seismic acquisition systems introduced.  These new systems are lighter, record data for longer, and produce higher quality data than those previously available.  Advances have not been restricted to the receiver side, with new seismic sources and positioning systems being introduced.  In this presentation I outline these recent advances and will show samples of many of the new nodes that have been introduced. 

 

Tim has an Honours degree in Geophysics from Curtin University and a PhD in Physics from the University of New South Wales.  He spent more than twelve years working for WesternGeco and Schlumberger in a variety of roles related to surface and borehole seismic acquisition including field operations, software development and research located in Saudi Arabia, England, Norway and Australia.  After leaving Schlumberger he worked as a sports technology Project Advisor at Hawk-eye innovations (a division of Sony).  He joined the Department of Exploration Geophysics at Curtin University as a Research Fellow in August 2016.

 

REGISTER HERE: https://www.eventbrite.com.au/e/aseg-wa-2019-june-tech-meeting-tickets-62135746691

SEG DISC 2019: Physics and Mechanics of Rocks: A Practical Approach

Friday, September 6, 2019
09:00
17:00

 See here for more details adn registration: https://seg.org/Education/Courses/DISC/2019-DISC-Manika-Prasad

Intended Audience

  • Seismic imagers and interpreters who want to learn how fluids, stress, and other environmental effects change seismic signatures
  • Geophysicists who wish to derive rock properties and constrain well-to-seismic ties
  • Geologists and sedimentologists looking to develop predictive models of sedimentary environments and stratigraphic events
  • Reservoir engineers to build porosity, permeability, and fluid coverage models for reservoir simulations using 3D and 4D seismic data
  • Basin modelers and completions engineers to evaluate stresses from well log and seismic data
  • Geoscientists doing formation evaluation and well logging interpretations
  • Basin managers and team leaders who wish to evaluate the accuracy of predictions and understand risk and errors in models

Prerequisites (Knowledge/Experience/Education Required)

Attendees should have an understanding of basic rock properties such as porosity, permeability, sediment compositions and depositions, and structural geology. It will be helpful to have familiarity, but not necessarily expertise, in seismic properties. The accompanying textbook will include mathematical details, data and problem solutions for mineral modulus calculations, rock stiffness calculations for textural symmetries, velocity binning in flow zones, pore stiffness, and Gassmann fluid substitution. The lecture will focus on fundamental rock physics principles, applications, and analysis of results.

Course Outline

The course is organized into two main sections: Section I. Rock Physics Fundamentals (introductory section) and II. Advanced Topics in Rock Physics (application section):

Rock physics fundamentals

In this section, I will:

  • Review fundamental principles underlying rock physics, and rock properties
  • Investigate the effects of fluids on rock properties
  • Derive basic rock physics correlations and explain why and how they work
  • Review rock properties that can be mapped with remote sensing

Advanced Topics in Rock Physics

In this section, the student is introduced to:

  • Poroelasticity
  • Attenuation and dispersion
  • Geomechanics
  • Complex electrical conductivity and permeability
  • Investigate the causes for complications and deviations from basic correlations
  • Examine existing empirical and theoretical models
  • Discuss selected case studies in rock physics

Learner Outcomes

On completion of the course, the learner should be able to

  • Describe and explain the applications of rock physics for reservoir characterization, formation evaluation, and field monitoring
  • Identify and evaluate existing and potential technologies applicable to rocks physics and rock mechanics for reservoir/formation studies
  • Identify, list, and describe the physical properties of rock, and relate these properties to the mechanical behavior of rocks
  • interpret and predict the effect of mineral properties (e.g. clay minerals) on the load-bearing capacity and strength of rocks
  • Integrate and model elastic wave propagation, electrical conductivity, and fluid flow in rocks
  • Evaluate and assess errors in experimental data, uncertainty, and the value of theoretical models
  • Develop expertise in rock physics interpretations of seismic and electrical conductivity to identify fluids and quantify saturations
  • Gather key strengths in rock physics interpretations by developing a broad understanding of existing or potential technology transfers between engineering and earth science fields that relate rock physics to reservoir geophysics and reservoir engineering
  • Gain knowledge and expertise to understand physical and mechanical behavior of rocks through examples of stress-dependent changes in strains, seismic velocity, electrical conductivity, and pore structure
  • Interpret rock physics and rock mechanics data and model elastic wave propagation, electrical conductivity, and fluid flow in rocks
  • Assess errors in experimental data, assess the uncertainty and the value of rock physics models
  • These learning objectives will allow geoscientists and engineers to:
  • Distinguish major trends in and control factors for velocity and impedance changes in the subsurface
  • Describe and evaluate velocity and impedance data for changes in fluids and stresses
  • Apply basic rock physics techniques to evaluate reservoirs
  • Identify and select the best practice workflows when using rock physics for seismic interpretations
  • Analyze complex conductivity data to interpret reservoir properties

 

Abstract

Rock physics is an interdisciplinary branch of geophysics that explains geophysical remote sensing data, such as seismic wave velocities and electrical conductivity, in the context of mineralogy, fluid content, and environmental conditions. Thus, rock physics interpretations often require inputs from physics, geology, chemistry, chemical engineering, and other fields. For example, seismic waves travel faster in cemented rocks than in loose sediments. Since the physical behavior of rocks controls their seismic response, rock physics brings key knowledge that helps with the interpretation of rock properties such as porosity, permeability, texture, and pressure. Rock physics combines indirect geophysical data (such as seismic impedance, sonic log velocities, and laboratory measurements) with petrophysical information about porosity, fluid type, and saturation for use in reservoir characterization, evaluation, and monitoring. Typically, rock physics is used by petroleum engineers doing reservoir simulations, geologists evaluating over-pressures and making basin models, and anyone doing a monitoring survey to map fluids from 4D seismic. For all such purposes, an understanding of wave propagation is required to relate seismic properties (e.g. velocity and attenuation) to the physical properties of rocks and to evaluate seismic data in terms of subsurface petrophysical parameters.  For example, an application of rock physics is seen in 4D seismic data (i.e. repeated seismic data acquired from the same field), where fluid saturation changes are evaluated from changes in velocity using fluid substitution models. Another rock physics application is to understand and predict the effect of clay minerals on the load-bearing capacity and strength of rocks using fundamental knowledge about the properties of clay minerals (e.g. CEC, surface area, dispersability, charge, sorption, plasticity, etc.), the clay water content, as well as the effects of their distribution within the rock. Thus, an effective prediction of rock properties from indirect measurements requires a solid understanding of the physical behavior of rocks under in situ conditions of pore and confining pressures and fluid saturations.

During this one-day short course, I will provide the earth scientist and engineer with a foundation in rock physics to describe the physical processes that govern the response of rocks to the external stresses essential for reservoir characterization. The course will also offer practical guidance to help better analyze existing data. A major goal of this course is to offer practical instruction and provide working knowledge in the areas of rock physics and rock mechanics for rock characterization.

New Applications of Machine Learning to Oil & Gas Exploration and Production

Monday, July 8, 2019
TBC
TBC

2 Day EAGE course in Perth. For more information and registration, see here:

https://events.eage.org/en/2019/education-days-perth-2019/programme/bern...

Course description

The course introduction will attempt to answer the question: How will A.I. change the way we work in the Oil and Gas industry in the coming years? Looking at what is underway in other industries and guessing what type of projects are under development in R&D departments in our industry will help answer that question. Oil and Gas examples will be presented corresponding to each of the terms A.I., Machine Learning, and Deep Learning, allowing participants to reach a clear understanding on how they differ.

 

The course will then focus on Deep Learning (DL) and address all key aspects of developing and applying the technology to Oil and Gas projects. 

 - What is DL and how different is it from traditional neural networks?

 - A peek at the mathematics behind Deep Neural Networks (DNN)

 - Typical workflow to design and develop a deep learning application in an E&P project

 - Common challenges, difficulties, and pitfalls in deep learning projects

 - Software tools and hardware required + Cloud computing vs in-house solutions.

 

This will be followed by live demonstrations of two DNN-based applications specific to Oil and Gas upstream domains. 

 

First, we'll run software performing automatic fault identification will be run on released seismic data from New Zealand basins to demonstrate how a DNN recognizes faults and how it differs from other algorithms such as ant tracking. Starting from default training, the DNN can gradually learn to recognize faults like the Geophysicist or Structural Geologist. The training set constantly evolves incorporating feedback from human experts. 

 

Second, the identification of resource opportunities in very large repositories of text and image documents will be demonstrated. This will be done with a deep learning application that performs contextual search and linguistic analysis. Unlike keyword search, contextual search extracts information based on its context, just like humans do. And then linguistic analysis is run on the extracted information to identify actionable opportunities. This list of opportunities can then be further evaluated by human experts.

 

Finally, the course conclusion will summarize key learnings and answer any additional questions/queries from participants.

Course objectives

Upon completion of the course, participants will have acquired detailed knowledge of what deep learning is exactly, how it works, and in which way it differs from traditional neural networks that have been used in the industry during the last 30 years. They will understand which domains this can be applied to and for what type of applications. And they will also understand what are the main challenges, difficulties, and pitfalls when developing new applications. Finally they will have seen demonstrations of deep neural networks applied to Exploration and Production disciplines and will be able to evaluate how useful the technology could be for their own domain.

 

Participants' profile

The course is designed for geoscientists, petroleum engineers, and petrophysicists from new ventures/basin, exploration, and development & production disciplines- from early career to senior, working in oil & gas companies or service companies. 

 

Prerequisites

Participants should be familiar with at least one discipline in the Oil and Gas Exploration and Production (G&G, Petrophysics, Reservoir and Production Engineering, Petroleum Engineering)

 

About the instructor

Dr. Bernard Montaron is CEO of Fraimwork SAS, Paris, France, and CTO of Cenozai Sdn Bhd, Kuala Lumpur, Malaysia. Two start-ups, created in mid-2017, that are specialized in the application of Artificial Intelligence to various domains, and provide services to oil and gas companies for exploration and production. In 2015-2017 he was Chief Geoscientist of BeicipTecsol in Kuala Lumpur. Prior to this, Bernard Montaron worked 30 years for Schlumberger where he held a number of positions in R&D and Marketing. He has worked for the oil and gas industry in Europe, in the United States, in the Middle East, in China, and Malaysia. Bernard was General Manager of the Schlumberger Riboud Product Center in Paris - Clamart, France (2002-2003) and he was VP Marketing of Schlumberger Middle East and Schlumberger Europe-Africa-Russia regions (2000-2001). Bernard holds a MSc degree in Physics from ESPCI, Paris, France, and a PhD in Mathematics from University Pierre et Marie Curie, Paris, France. He also has a Machine Learning certificate from Andrew Ng's course (Stanford Univ./Coursera). Bernard Montaron received the best oral presentation award at the APGCE 2017 conference for his paper on "Deep Learning Technology for Pattern Recognition in Seismic Data – A Practical Approach".

Seismic Diffraction-Modelling, Imaging and Applications

Thursday, July 4, 2019
TBC
TBC

2 Day EAGE course. For more details and registration, see here:

https://events.eage.org/en/2019/education-days-perth-2019/programme/evge...

Course description

Diffraction phenomena have been identified as the key seismic manifestation of fractures and other small-scale reservoir heterogeneities. This two-day course will present the current state-of-the-art of diffraction technology and put this in context by a review of its past developments. The course will cover both forward diffraction modeling and diffraction imaging. Case studies of diffraction imaging will be presented covering applications in seismic exploration and other areas of geoscientific interest.

Course objectives

The course will be clearly structured in topics and subtopics. At the end of each topic, a number of bullet points will summarize the items meant to be memorized and taken home by the learner. Interaction between the teacher and learner will be encouraged. The course material will be enlightened by out-of-the box examples demonstrating diffraction phenomena that support the techniques. 

By the end of this course, the learner will:

Have a detailed and up-to-date understanding of the physics of diffraction, diffraction modelling and imaging;

Be able to effectively communicate the key aspects of diffraction technology with other professionals;

Have a good understanding of the added value that seismic diffraction brings to current exploration and production projects. 

 

Course outline

1 Introduction 

Motivation, basic ideas and concepts 

Reflection versus diffraction

Applications of diffraction analysis and imaging

Interpretation value

2 History

Discovery and founding years (1650-1820): Grimaldi, Huygens, Newton, Young, Fresnel, Poisson, Arago

Scalar diffraction: mathematical foundation- 19th century: Green, Helmholtz, Kirchhoff, Sommerfeld

Towards Geometrical Theory of Diffraction- early 20th century: Maggi, Rubinowicz, Keller

Towards Modern Theory: Trorey, Klem-Musatov

3 Diffraction Modeling

Motivation, definitions, objectives

Physical modeling

Numerical modeling: integral methods, boundary layer methods, surface and caustic diffraction, finite differences, time-lapse, scattering methods

Case study: Diffraction analysis on Ground Penetrating Radar Data

Case study: Diffraction Response of Salt Diapirs

4 Diffraction Imaging in the Time Domain

Motivation, definitions, objectives

Anatomy of diffraction

Diffraction and standard processing

Detection of diffracted waves

Separation of diffracted waves

Inversion of diffracted waves

Imaging

Common Reflection Surface/Multifocusing

Focusing and velocity estimation

Fracture detection

5 Diffraction Imaging in the Depth Domain

Motivation

Velocity model considerations

Illumination: edge and tip diffraction imaging

Depth imaging: general principles

Resolution and super-resolution

Image processing and diffraction imaging

Diffraction imaging by specularity suppression

Applications: sandstone reservoirs, time-lapse, stratigraphic terminations against salt, Carbonate reservoirs, shale resource plays, unconventional reservoirs

Case studies 

Participants' profile

The target audience of the course consists in geoscientists from industry and academia with a basic knowledge of seismic processing and an interest in innovative interpretation technologies. 

 

Prerequisites 

Prerequisites are a basic knowledge of seismic processing and imaging and a very elementary mathematical background. 

 

About the instructors

Evgeny Landa obtained his MSc degree in geophysics at Novosibirsk University (1972) and PhD degree in geophysics at Tel Aviv University (1986). He started his carrier in the former Soviet Union, Novosibirsk as a researcher, and senior geophysicist at the Siberian Geophysical Expedition. After immigrating to Israel, he worked at the Geophysical Institute of Israel as a researcher, Head of the R&D group and Head of the Seismic Department (1981—2002), and Director of OPERA (Applied Geophysical Research Group) in Pau (France) (2002-2014) where he was involved in different aspects of seismic data processing, velocity model building and time and depth imaging. His work on velocity model building by coherency inversion has had a strong impact on today’s seismic depth imaging workflows and forms an important part of the GeoDepth (Paradigm) software package. Recently, his research interest involves using non-reflecting energy for increasing seismic resolution and imaging without precise velocity information. He has published more than 60 papers in international journals and his book ‘Beyond Conventional Seismic Imaging’. He is a member of EAGE and SEG, from which he received the Awards of Best Paper (SEG, Honorary Mentioned, 2005) and the EAGE Eotvos Award (2007 and 2009).

 

Tijmen Jan Moser has a PhD from Utrecht University and has worked as a geophysical consultant for a number of companies and institutes (Amoco, Institut Français du Pétrole, Karlsruhe University, Bergen University, Statoil/Hydro, Geophysical Institute of Israel, Fugro-Jason, Horizon Energy Partners). For the last few years he has been working independently with associations with ZTerra, SGS-Horizon and others. He is based in The Hague, The Netherlands. His main interests include seismic imaging, asymptotic methods, seismic reservoir characterization, diffraction and geothermal exploration. He has authored many influential papers on ray theory and ray methods, Born inversion and modeling, macro-model independent imaging, and diffraction imaging, several of which have received Best Paper awards (SEG, 2005 Honorary mention, EAGE 2007 and 2009, Eotvos Award). He is Editor-in-Chief of Geophysical Prospecting and is serving on SEG's Publication Committee and EAGE's Oil Gas & Geoscience Division Committee. He is a member of SEG and MAA and honorary member of EAGE.

Pages