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Technical Series - Middle East and Asia Pacific

May 04 - June 24, 2020
These presentations are now available for viewing.


As the nature of our work environment continues to evolve, Emerson is unwavering in its support for you, your company, and the safe and profitable operation of your business. 

To make good on this commitment, we introduce the Technical Series – Middle East and Asia Pacific, starting May 4. In these live webinars, our Subject Matter Experts will demonstrate best practices for optimizing workflows in order to reduce cycle time, maximize accuracy and reduce risk. You will see the latest geoscience trends, tips and tricks and have an opportunity to connect with the presenters in a live Q&A session.

We invite you to register for any or all of the lectures. 




Monday May 4
12:00 PM (IST)

Presented by: 
Ruben Raj Susai 

Waveform Classification Workflow Alternative to Seismic Attribute Analysis

Waveform classification, or seismic facies analysis, provides an alternative to seismic attribute analysis when amplitude behavior is not the main driver for analyzing geological settings or reservoir conditions changes related to lithology variations. Waveform classification that takes a different approach is embedded in the  Emerson E&P software solution, enabling better delineation and more detailed analysis of prospects. This approach can simply be based on analysis of the seismic signal in order to provide qualitative information about an interval of interest. The output contributes to the interpretation of geological settings, while delivering more information than amplitude maps.

Monday May11
12:00 PM (IST)

Presented by:
Anish Tkrishnapillai 

Optimizing Petrophysics to Solve Mineralogical Complexity in Conventional and Unconventional Reservoirs

Petrophysical analysis provides vital input to most, if not all, geoscience workflows. Key information regarding porosity, shale volume and saturation as well as other mineral volumes, aids subsequent modeling and reservoir simulation. In this session you will see capabilities and theory behind the Multimin probabilistic method in Geolog™. This session will also showcase the new probabilistic model switching and Monte Carlo capabilities in the latest version of Geolog.

Monday May18
2:00 PM (IST)

Presented by:
Kashif Shaukat


Deep Learning and EarthStudy 360™ to Automate G&G Workflows

Due to the explosion in data size and quantity, the development of GPU, and falling hardware prices, research into advanced AI algorithms has intensified over the past few years, and has contributed to expansion of the deep learning concept. Machine learning applications for geoscience data have been in use for over 25 years. With the massive growth in petrotechnical data, it is now a necessity rather than an alternative technology. This lecture will show how deep learning is implemented in EarthStudy360 to classify geologic features, in order to enhance automated interpretation workflows.

Monday May 25 11.00 AM (IST)

Presented by:
Pramod Kumar & Pankaj Kumar

Azimuthally-Dependent Velocity and Amplitude Analysis for Determining Fracture Intensity and Orientation

Information about the orientation and intensity of natural fracture systems is essential for the efficient production of oil and gas. The orthorhombic model workflow validates the accuracy of fracture analysis (fracture direction and intensity) in conventional and unconventional plays and improves imaging. 

This presentation discusses how to perform azimuthally-dependent analysis of residual velocity (VVAZ) or amplitude versus angle/azimuth (AVAZ), using full azimuth angle domain (EarthStudy 360) seismic data, in order to determine fracture intensity (strength) and orientation (direction).

The objective of this workflow is to extract maximum information about the nature of the azimuthal variations from wide-azimuth, migrated, prestack data. Azimuthal variations are caused by fractures or azimuthal stress variations, and we can learn from the traveltime variations about the nature of the fractures. The input data to VVAZ/AVAZ is migrated gathers, in which the migration is done using isotropic velocity. This way the anisotropic component is still in the data and it manifests itself as changes with respect to azimuth.

Friday May 29
11.00 AM (IST)

Presented by:
Brijesh Singh & Akhil Puri

A Machine Learning Approach to Rock Typing, Log, and 3D Facies Prediction

An advanced cluster analysis for electrofacies characterization and log prediction developed by Total, which includes MRGC, a multi-dimensional dot-pattern recognition method based on k-Nearest Neighbors and graph data representation. MRGC allows analysis of the underlying structure of the data and the formation of natural data groups, MRGC automatically determines the optimal number of clusters, while also allowing the interpreter to control the required level of detail.

Geolog Facimage consists of a suite of routines for electrofacies analysis and core data modeling, making it an invaluable tool for petrophysicists and geologists alike. 

Seismic interpretation is also being altered by machine learning.  A 3D lithofacies volume which was created by machine learning is applied to a 3D prestack seismic volume, using the Rock Type Classification algorithm.

June 10
4:00 PM (Perth, Australia)

Presented by:
Luke van den Brul

Bring 2D Sections to Life with SKUA’s Implicit 3D Modeling
While SKUA was developed as a 3D volume-based (implicit) modeling tool, it can also be used to quickly generate models from 2D seismic lines or cross section images.

This presentation will provide examples of how extruding 2D interpretation to 3D allows creation of the SKUA UVT model and connected geological grid, enabling workflows that can be used to create properties through functions and geostatistics (e.g. velocity, density, VSh…), for kinematic restoration.

June 24
10:00 AM (Bahrain)

Presented by:
Vikram Agarwal
Compositional Simulation & Enhanced Oil Recovery with State-of-the Art Co2 Injection Simulation
Tempest™ MORE is an industry standard Reservoir Simulation software solution for both black oil and compositional simulation studies. This presentation highlights the capabilities and features of Tempest MORE for EOS (Equation of State) simulations. Special emphasis is placed on simulation of miscible injection studies using Co2 as a solvent and existing MORE feature to simulate and study Co2 injection studies. The main features include:
  1. EOS simulation with Separators, multiple EOS regions, EOS variation with temperature in a field
  2. Equilibration options in EOS runs
  3. Produced gas re-injection facilities
  4. Gas recovery plants
  5. WAG cycles
  6. Multiphase flash option for Co2 injection at low temperatures
  7. Scaling of relative permeability curves as miscibility is approached
  8. Solubility of hydrocarbons in water and water solubility in hydrocarbons
  9. Trapped oil saturation in the Co2 injection process
  10. The four-phase Todd-Longstaff solvent model
  11. Using tracers to track fluid movements

Tempest MORE is extensively used by clients in North America for simulating Co2 injection processes in their fields. Several success stories will be presented showing how the technology was used to successfully predict recovery from different fields and under different recovery mechanisms.

Tempest MORE has its own set of keywords to make a complete simulation model. It can also read ECLIPSE data files and supports ECLIPSE keywords and their format. The licensing scheme is very flexible and gives access to all the features with a single license. It also supports running a simulation job on 16 cores in parallel with a single license.



Ruben-Raj-Susai.jpgRuben Raj Susai has worked as a Technical Consultant with Emerson-Paradigm for 14 years. He has over 20 years of experience in the oil and gas industry, in areas such as seismic data processing, interpretation, sales, training and support.  Ruben holds a Bachelor (Hons) in Geology from Universiti Kebangsaan Malaysia, and an MBA from Heriot Watt University (Edinburgh Business School).  Ruben is also a musician, playing piano, violin, and his latest instrument, cello.


Anish-Krishnapillai_sm.pngAnish Krishnapillai is a Senior Technical Advisor at Emerson E&P Software. He has more than 13 years of  experience in E&P as a Petrophysicist, with extensive knowledge of clastic, carbonate and unconventional reservoirs. In his current role, he provides technical support and training for all formation evaluation workflows. Anish holds a Master's Degree in Applied Geology from the Indian School of Mines, Dhanbad, India.

Kashif.jpgKashif Shaukat is currently the Emerson E&P Software Technical Account Manager for Saudi Aramco.  He holds an MSc in Advanced Signal Processing from the University of Manchester. With hands-on experience, from conventional processing & imaging to advanced full/multi-azimuth workflows such as multi-component processing, Kashif creates purpose-built deliverables with reduced uncertainty for reservoir characterization, interpretation and structural modeling workflows.  Over the years, Kashif has worked with numerous E&P companies in consultancy, training and support.

Pramod-Kumar.jpgPramod Kumar is a geophysicist and Senior Technology Specialist – Customer Support. His main interests are seismic data processing and imaging, shallow velocity model building using diving wave tomography, geologically consistent velocity depth model building from seismic and borehole data, estimation of anisotropic parameters to create VTI/TTI velocity models, full-azimuth tomography, full-azimuth imaging, and fracture characterization using VVAZ and AVAZ attributes. Pramod holds a M.Tech. degree in Applied Geophysics from the Indian Institute of Technology Roorkee, in Roorkee, India. He has co-authored papers on depth-velocity modeling and fracture characterization.

Pankaj-Kumar.jpgPankaj Kumar is a Technical Sales Advisor with Emerson for Processing & Imaging. He has 9 years of experience in upstream oil & gas for processing & imaging. His expertise includes seismic data processing and imaging, geologically consistent depth velocity model building from seismic and borehole data, estimation of anisotropic parameters to create VTI/TTI velocity models, full-azimuth tomography, full-azimuth imaging, and fracture characterization using VVAZ and AVAZ attributes. He has a Master’s degree in Applied Geophysics from IIT Roorkee. He previously worked as a Research Fellow in the National Earthquake precursor program, Ministry of Earth Sciences, Govt. of India.

Akhil-Kumar-Puri.jpgAkhil Kumar Puri is Technical Manager at Emerson Paradigm, leading the technical team in the Middle East and India. With 16 years of experience in the upstream oil & gas industry, his current responsibilities include providing integrated end-to-end solutions to clients, from seismic processing to interpretation, QI and modeling, ensuring the delivery of high-end solutions to customers. He holds a Master’s degree in Applied Geophysics from IIT Roorkee. Prior to joining Emerson, he worked for CGG HRSS, Cairn India.

Akhil specializes in seismic interpretation and reservoir characterization and has vast experience in new age technology solutions like the interpretation of specular stacks and diffraction stacks - Earth Study 360, fault seal analysis, fracture modeling and stochastic inversion (MSI).

Brijesh-Singh.jpgBrijesh Kumar Singh is Formation Evaluation Team Lead, MEI-Africa, and Technical Account Manager, E&P Software in Kuwait. His responsibilities include providing support to clients using the Geolog formation evaluation solution. 

Brijesh has more than 14 years of experience in upstream oil & gas, specializing in Petrophysics.  He is an expert in Formation Evaluation workflows integrating LWD, wireline logs and core data for reservoir management. He holds a Master’s degree in Applied Geophysics from IIT Roorkee, India. Prior to joining Emerson, he worked for Reliance Industries Ltd, India.

Luke-Van-Den-Brul_new.jpgLuke van den Brul is a reservoir geologist and geomodeler, passionate about integrating subsurface data though to geological concepts, and bringing these and their associated uncertainties to static and simulation models. His career led him from Statoil, where he performed reservoir characterization and modeling on fields in the Norwegian North Sea and the Canadian Jean Darc basin. Now at Emerson, Luke leads the Modellng and Reservoir Simulation Technical Team across Middle East India and Asia Pacific (MEIAP)

Vikram_new_sm-(1).jpgVikram Agarwal is a Senior Reservoir Engineer at at Emerson E&P Software.Based in the Middle East, he has more than 15 years of experience in the domains of Reservoir Simulation and Geological Modeling. He graduated as a Petroleum Engineer from IIT-ISM India in 2004 and holds a Master’s degree in Technology Management from IIT Kanpur, India. Prior to joining Emerson, he worked with Paradigm, Accenture and Schlumberger.

His interests and areas of expertise include Compositional Simulation, PVT fluid studies, Geological Modeling, Reservoir Uncertainty Analysis - particularly Big Loop, Enhanced Oil Recovery processes, and Reservoir Simulator Design. He can be reached at