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Reservoir Modelling A Practical Guide 1st Edition by Steve Cannon ISBN 1119313465 9781119313465

Name: Reservoir Modelling A Practical Guide 1st Edition by Steve Cannon ISBN 1119313465 9781119313465
SKU: EB-7000202
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Reservoir Modelling A Practical Guide 1st Edition Steve Cannon Digital Instant Download

Author(s): Steve Cannon

ISBN(s): 9781119313465, 1119313465

Edition: 1

File Details: EPUB, 19.09 MB

Year: 2018

Language: English

SKU: EB-7000202 Category: Engineering Tag: Steve Cannon

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Reservoir Modelling A Practical Guide 1st Edition by Steve Cannon – Ebook PDF Instant Download/Delivery: 1119313465, 978-1119313465
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ISBN 10: 1119313465
ISBN 13: 978-1119313465
Author: Steve Cannon

The essential resource to an integrated approach to reservoir modelling by highlighting both the input of data and the modelling results

Reservoir Modelling offers a comprehensive guide to the procedures and workflow for building a 3-D model. Designed to be practical, the principles outlined can be applied to any modelling project regardless of the software used. The author ― a noted practitioner in the field ― captures the heterogeneity due to structure, stratigraphy and sedimentology that has an impact on flow in the reservoir.

This essential guide follows a general workflow from data QC and project management, structural modelling, facies and property modelling to upscaling and the requirements for dynamic modelling. The author discusses structural elements of a model and reviews both seismic interpretation and depth conversion, which are known to contribute most to volumetric uncertainty and shows how large-scale stratigraphic relationships are integrated into the reservoir framework. The text puts the focus on geostatistical modelling of facies and heterogeneities that constrain the distribution of reservoir properties including porosity, permeability and water saturation. In addition, the author discusses the role of uncertainty analysis in the static model and its impact on volumetric estimation. The text also addresses some typical approaches to modelling specific reservoirs through a mix of case studies and illustrative examples and:

Offers a practical guide to the use of data to build a successful reservoir model
Draws on the latest advances in 3-D modelling software
Reviews facies modelling, the different methods and the need for understanding the geological interpretation of cores and logs
Presents information on upscaling both the structure and the properties of a fine-scale geological model for dynamic simulation
Stresses the importance of an interdisciplinary team-based approach

Written for geophysicists, reservoir geologists and petroleum engineers, Reservoir Modelling offers the essential information needed to understand a reservoir for modelling and contains the multidisciplinary nature of a reservoir modelling project.

Reservoir Modelling A Practical Guide 1st Table of contents:

Chapter 1: Introduction

1.1 Reservoir Modelling Challenges
1.2 Exploration to Production Uncertainty
1.3 Content and Structure
1.4 What is a Reservoir Model?
1.5 The Modelling Workflow
1.6 An Integrated Team Structure for Modelling
1.7 Geostatistics
1.8 Data Sources and Scales
1.9 Structural and Stratigraphic Modelling
1.10 Facies Modelling
1.11 Property Modelling
1.12 Model Analysis and Uncertainty
1.13 Upscaling
1.14 Summary

Chapter 2: Data Collection and Management

2.1 Seismic Data
2.2 Well Data
2.3 Dynamic Data
2.4 Important Specialist Data
2.5 Conceptual Models
2.6 Summary

Chapter 3: Structural Model

3.1 Seismic Interpretation
3.2 Fault Modelling
3.3 Horizon Modelling
3.4 Quality Control
3.5 Structural Uncertainty
3.6 Summary

Chapter 4: Stratigraphic Model

4.1 How Many Zones?
4.2 Multi-Zone Grid or Single-Zone Grids?
4.3 Well-to-Well Correlation
4.4 Geocellular Model
4.5 Geological Grid Design
4.6 Layering
4.7 Grid Building Workflow
4.8 Quality Control
4.9 Uncertainty
4.10 Summary

Chapter 5: Facies Model

5.1 Facies Modelling Basics
5.2 Facies Modelling Methods
5.3 Facies Modelling Workflows
5.4 Flow Zones
5.5 Uncertainty
5.6 Summary

Chapter 6: Property Model

6.1 Rock and Fluid Properties
6.2 Property Modelling
6.3 Property Modelling Methods
6.4 Rock Typing
6.5 Carbonate Reservoir Evaluation
6.6 Uncertainty
6.7 Summary

Chapter 7: Volumetrics and Uncertainty

7.1 Work Flow Specification
7.2 Volumetric Model Work Flow
7.3 Resource and Reserves Estimation
7.4 Uncertainty Modelling
7.5 Summary

Chapter 8: Simulation and Upscaling

8.1 Simulation Grid Design
8.2 Upscaling Property Models
8.3 Work Flow Specification
8.4 Summary

Chapter 9: Case Studies and Examples

9.1 Aeolian Environments (Figure 9.1)
9.2 Alluvial Environments (Figure 9.3)
9.3 Deltaic Environments (Figure 9.4)
9.4 Shallow Marine Environment (Figure 9.6)
9.5 Deepwater Environments (Figure 9.8)
9.6 Carbonate Reservoirs (Figure 9.10)
9.7 Fractured Reservoirs (Figure 9.12)
9.8 Uncertainty Modelling
9.9 Summary

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