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Quantitative seismic interpretation for reservoir characterization (1)

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Quantitative seismic interpretation for reservoir characterization  (1)
Quantitative seismic interpretation for reservoir characterization  (1)

Time & Location

٢٣ فبراير ٢٠٢٠، ٩:٠٠ ص – ٢٧ فبراير ٢٠٢٠، ١:٠٠ م

Hurghada, Hurghada, Red Sea Governorate, Egypt

About the Event


This course covers fundamentals and advanced approaches of rock physics and various types of seismic data inversion to practical recipes that can be immediately applied to the oil and gas fields. This course presents qualitative and quantitative tools for understanding and predicting the effects of lithology, pore fluid types and saturation, stress and pore pressure, and temperature on seismic acoustic and elastic properties. This course explains comprehensively all the seismic data inversion approaches that can be used to generate/compute the acoustic and elastic properties of the rocks.  Then the course will explain workflows and strategies for quantitative seismic interpretation and, suggestions for more effectively employing seismic to-rock properties transforms in reservoir characterization, with emphasis on seismic interpretation for lithology and subsurface fluid detection. The course is recommended for all geophysicists, reservoir geologists, seismic interpreters, and engineers concerned with reservoir characterization, reservoir delineation, hydrocarbon detection, reservoir development and recovery monitoring. The course includes practical sessions using real data for live applications from different basins around the world. 


Course Outline

Chapter 1 : Basic Principle

1.1 Seismic Wave Propagation

1.2 Mathmatical Models of Seismic Wave Propagation 

1.3 Seismic energy partitionong and physical bases of AVO

Chapter 2: 3D Seismic Image Enhancement and Resolution Improvement 

2.1. Introduction 

2.2. Methods of seismic resolution enhancement 

2.2.1 Inverse Q filter

2.2.2 Spectral whitening 

2.2.3 Spectral bleuing 

2.2.4 Spectral braodbanding 

2.3. Results QC

2.4. Applied practical session with software platform and live data 


Chapter 3 : RockPhysics Analysis And Modeling 

3.1 Basic principles of rock physics analysis and modeling 

3.2 Acoustic Properties of rocks

3.3 Elastic properties of the rocks

3.4 Rockphysics modeling 

3.5. Techniques of rock physics modeling

3.6. Computing missing logs 

3.7.  Factors controlling seismic AVO responses

3.8.  Lithology, facies and pore fluid content interpretation using rock physics approaches  

3.9. Practical sessions using real data

Chapter 4 : Seismic AVO analysis and modeling 

4.1. Why AVO?

4.2. Equations are describing change of amplitude with offset

4.3.  Seismic data conditioning prior AVO analysis 

4.4 Basic AVO attributes 

4.5. Interpretation of AVO attributes of lithology and pore fluid in clastics and carbonates 

4.6. AVO modeling approaches 

4.7. Real data-to-AVO modeling tie 

4.8. Practical sessions using real data

Chapter 5: Post-stack seismic inversion 

5.1. Model-based seismic inversion 

5.2. Colored inversion

5.3.  Sparse spike inversion

5.4.  Stochastic inversion

5.5. Practical sessions using real data

Chapter 6: Pre-stack seismic inversion

6.1. AVO pre-stack independent seismic inversion 

6.2. AVO pre-stack simultaneous seismic inversion

6.3.  Extended elastic impedance seismic inversion 

6.4.  Lambda-Rho pre-stack seismic inversion

6.5. Practical sessions using real data

Chapter 7: Stochastic  seismic inversion

7.1. Geo-statistical seismic inversion 

7.2. Bayesian seismic inversion

7.3. Practical sessions using real data

Chapter 8: 3D Seismic petrophysics for reservoir characterization

8.1.  Introduction

8.2. 3D Reservoir porosity prediction methods and approaches

8.3. 3D Net pay thickness and NTG ratio prediction methods and approaches 

8.4. 3D Hydrocarbon saturation prediction methods and approaches

8.5. 3D Pore fluid type prediction methods and approaches

8.6. Applied practical session with software platform and live data

Chapter 9: 3D Seismic lithology interpretations / predictions   

9.1.  Introduction

9.2. 3D Deterministic lithology predictions using post-stack seismic attributes

9.3. 3D Artificial intelligence / machine learning-based lithology predictions using post-stack seismic attributes

9.4. 3D Lithology predictions using pre-stack seismic inversion and attributes

9.5. 3D Lithology predictions using geostatistical seismic inversion

9.6. Applied practical session with software platform and live data

Instructor : Dr Ahmed Hafez 

+15 years experience of seismic interpretation, seismic inversion, reservoir characterization, seismic attribute analysis, geomechanics, sequence stratigraphy and sedimentology for hydrocarbon exploration, prospect generation and fields development for onshore and offshore assets 


• Ph.D. Geophysics. Ain Shams University, Cairo, Egypt, 2015. Seismic reservoir characterization (rock physics and seismic inversion) of Pliocene gas-bearing fields, Mediterranean Sea, Egypt. 

• M.Sc. Geophysics. Al-Azhar University, Cairo, Egypt, 2012. Seismic sequence stratigraphic analysis of the Upper Miocene sequences, Western Nile Delta, Mediterranean, Egypt. 

• B.Sc. Geophysics. Al-Azhar University, Cairo, Egypt. May, 2006. Excellent with honor grad. 


• 2D and 3D seismic data interpretationfor both regional and prospect scales in different tectonic settings 

• Rock physics and seismic data inversion applications to clastics, carbonates and mixed environments 

• Quantitative interpretation of the seismic data for reservoir characteristics delineation using rock physics and seismic inversion 

• Seismic attribute analysis for structure styles interpretation and depositional elements delineation 

• Well-to-seismic tie and seismic velocity modeling for depth conversion in different tectonic regimes 

• Well planning and shallow hazard analysis utilizing site survey results 

• Integrating sediemntological and biological analyses with the well-log signatures for sedimentary facies delineation and prediction 

• Seismic sequence stratigraphy applications to clastics and carbonates environments for reservoir delineation 

• Prospect generation and evaluation in different tectonic settings 

• Prospect risk assessment and volumetric calculations 

• Field development planning 

• Teaching rock physics and seismic interpretation course for undergraduates in Ain Shams University in Cairo 

• Technical evaluation during bid rounds and farm-in processes 

• Technical reviewer of SEG-AAPG Interpretation international journal 

• Work within multi-disciplinary team 

• Implement and apply HSE procedures and rules in all circumstances 

• Software: GeoFram, Petrel, Hampson-Russell, RokDoc and IP for pore pressure predictions, OpendTect, Geotrace, Paradigm and Landmark 


• Created successfully development plan of the Sequoia gas field, offshore Nile Delta including drilling of 7 deepwater wells. Currently, all the wells are on the production. 

• Established a seismic-based workflow to delineate the heterogeneity of thedeepwater channelized reservoirs and assessment of the static connectivity of their depositional elements. This workflow is applied to gas field in the offshore Nile Delta. Please see “SEG-AAPG INTERPRETATION Journal, Vol., 2, No. 4 (November 2014); P. T205-T219.

• Established a seismic-based workflow to distinguish gas-bearing sandstone reservoirs within mixed siliciclastics and carbonates sequences. This workflow is applied to gas discovery in the offshore Nile Delta. Please see “SEG-AAPG INTERPRETATION Journal, Vol., 4, issue 4, (November 2016) T435-T449” 

• Created development plan of the West El-Burullus gas discovery, offshore Nile Delta including drilling of 4 high deviated wells. • Generated AVO signature models of the sandstone reservoirs of all depositional sequences drilled to date in the Nile Delta basin(s) considering changes in depth and variations of the reservoir characteristics. 

• Teaching technical courses for undergraduates in the second largest university in Egypt. Instructor for applied technical courses for the professionals of the oil industry.  

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