Sub-Surface Uncertainty Evaluation (SUE)
By: Manish Agarwal
Instructor
Manish Agarwal
(Perth, Australia)
Duration
20 - 22 March 2023;
9:00AM - 13:00PM CET
4 hours/day
Disciplines
Geophysics - Integrated Geophysics
Course Format
The EAGE Interactive Online Short Courses bring carefully selected courses of experienced instructors from industry and academia online to give participants the possibility to follow the latest education in geoscience and engineering remotely. The courses are designed to be easily digested over the course of two or three days. Participants will have the possibility to interact live with the instructor and ask questions.
Education Packages
To help you save on registration fees and better organize your learning path, we are offering Education Packages for all Interactive Online Short Courses and Online EETs. The packages are valid for a period of 12 months, choose between packages of 3, 5 and 10 credits.
Course Description
1) INTRODUCTION TO SEISMIC UNCERTAINTY EVALUATION
- Sources of Uncertainties (Data Acquisition, processing & Interpretation).
- Validation with data examples on assessment/quantification & qualifications following standard industry practices. Introduction to new learning techniques/technology.
- Value addition on how the course will benefit an interpreter, geologist, and a Reservoir Engineer.
2) SEISMIC UNCERTAINTY ASSESSMENT
- Geological factors influence on Velocities
- Review and evaluate various types of velocity (Average, RMS, Stacking, Migration, Pseudo, P&S).
3) SEISMIC UNCERTAINTY QUANTIFICATIONS
- Construct geologically reasonable velocity models from the data (include synthetic seismograph creations and concept of geological/geophysical well markers).Hard and soft approaches.
- Map migration, structural modelling & stochastic depth conversion.
- Advance WCT(Well Constrained Tomography) workflows to construct geologically plausible models.
4) SEISMIC UNCERTAINTY QUALIFICATIONS
- Quantifications to qualification stage: Blind well analysis, equiprobable model, multiple regression models.
- Update depth conversion models adaptable to local geology and test them through amplitude shut-offs and closure maps
- Evaluate structural uncertainties by performing Monte Carlo simulation on best reference depth maps
- Evaluate the products from the multiple realizations: Probability distribution maps, multi-seed structures, amplitude conformance
Course Objectives
Seismic Uncertainty Analysis is a three fold approach to support well planning: Assessment, Quantification & Qualification
Data Analytics is a must to understand data leading to decision (Data2Decision)
Learn to qualify and quantify your seismic uncertainties: Deterministic and Stochastic
Deploy Equiprobable models for Uncertainty assessments and qualifications
Monte Carlo regression engine provides a relatively optimum P10/P50/P90 Volumetric ranges
Uncertainty reporting and well planning
Course Outline
- Standard practices to evaluate and estimate the Seismic Depth Uncertainties
- Risk and Myths
- Why Quantification & Qualification of seismic depth uncertainties is important in E&P?
2) QUANTIFICATION OF UNCERTAINTIES (SEIS2WELLS)
- Deterministic Depth Conversion– Hard And Soft Approaches
- Probabilistic Depth Conversion – Variogram & uncertainty modelling
- Additional Techniques: Map Migration, Equiprobable models
3) ADVANCED RAY BASED DEPTH CALIBRATION (WELL TOMO)
- Tomography Approach For Geological Plausible Velocity Models : Vertical Ray Tomography
- Why it is better de-risking model? Predictions away from the hard data
4) QUANTIFICATION TO QUALIFICATION
- Blind Well Analysis to test the best technical cases
- Multiple regression models
- Equiprobable modelling
5) QUALIFICATION OF UNCERTAINTIES : DRILL READY SEISMIC (DRS)
- Structural Flexing To Compute Probabilistic Volumetrics
- Spill Point Control And Amplitude Conformance Volumetrics
- Single And Multi-Seed Closures
- Probability And Iso-Probability Closure Maps
- Stacked Reservoir Volumetrics
6) DEPTH RISKING SCORECARD
- Uncertainty Risking Scorecard
- Depth Uncertainty Communication Well Planning and Decision Making from the Uncertainty Cube
Participants' Profile
The course is designed for Geologist, Geophysicist, drilling Engineers and Reservoir Engineers.
Prerequisites
Participants require a working knowledge on basic exploration cycle.
About the Instructor
Manish Agarwal
Manish Agarwal is a cross-functional Geoscientist and Published Author with 27 years of international experience working in Upstream Petroleum Exploration and Production for Oil and Gas Companies in Australia, India, Singapore, Saudi Arabia, and Oman.During his career Manish actively supported field development, static & dynamic reservoir modelling & well planning, 3D Seismic data acquisition with Schlumberger & SVUL, 3D seismic data processing with CGG & interpretation, Q.I. and field development with Woodside, Applied Geoscience, and Reliance.Manish area of expertise is regional & field-scale data integration, seismic and well data interpretation for Woodside operated fields: Pluto, Cimatti, Laverda, Browse, Scarborough, Myanmar, & Senegal, and geophysical support for field development & drilling (Enfield & Pluto).A designated focal point for all velocity modelling, depth conversion, Uncertainty estimation & well planning companywide from last 10 years.Currently Manish is managing a consultancy company Applied Geoscience Pty Ltd.