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Seismic Multiple Removal Techniques: Past, present and future. Revised Edition PDF

246 Pages·2013·18.024 MB·English
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Seismic multiple removal techniques past, present and future Revised Edition D.J. Verschuur © 2013 EAGE Publications bv All rights reserved. This publication or part hereof may not be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without the prior written permission of the publisher. ISBN:978-90-73834-56-9 EAGE Publications bv PO Box 59 3990 DB HOUTEN The Netherlands Preface When I presented my first 2D surface-related multiple removal results on synthetic data many people were telling me that it would never work on field data. After the first field data results people said that it was nice, but that the algorithm was too expensive, such that the method will not become practical. Ten years later surface-related multiple removal has matured and found its place as one of the advanced tools in the multiple removal toolbox and today SRME is considered almost a commodity. In a similar fashion at the 1997 SEG workshop on multiple removal it was argued that full 3D SRME would never become feasible, as the acquisition geometries of 3D marine seismic data does not allow to construct the multiples in a truly 3D fashion. A decade later it has been shown by several people that there are ways to handle the full 3D multiple problem. Thus, the expectation is that within another decade 3D SRME will be a commodity again and may be included in on-board processing of marine data. The lesson to learn from this historical overview is that people working at the leading edge of new technologies should never be worried about ‘details’ like computation power or sampling limits, as these items are under continuous development as well. This book supports the one-day EAGE course on multiple removal methods and provides the proper background information that will help to understand the course contents. I have tried to keep the mathematical content as simple as possible and where it was needed I made an effort to describe it in a clear manner and provide illustrative examples. From my point of view, the importance is not in the mathematical formulations by itself, but in the reasoning that is behind it. Furthermore, I have tried to emphasise more the physical meaning of certain processes, rather than proving it with rigorous mathematical derivations. Those can be found in the listed references. For the contents of this book I have tried to give a broad overview of multiple removal methods that have been developed within our industry. However, being heavily involved in the development of the surface-related multiple elimination (SRME) method, more than in any of the other methods, I have not even tried to balance the contents over the various methodologies. Thus, this book is biased towards SRME techniques and treats many issues that are related to it. Furthermore, it is also not complete. There have been so many interesting concepts developed over the last half century, some of which I only found out when writing this book, that it is hard to capture this in a limited number of pages. However, wherever possible, I have emphasised the links between the various multiple removal techniques in order to increase the understanding of these methods. The current book is a revised version of the initial publication from 2006. Since then, multiple removal techniques have developed and evolved. I have tried to capture the most important changes from the last seven years. This means that the later in the book, the more changes can be found, especially in the referred literature. Still, most of the fundamentals of multiple removal techniques have not been changed, so the major part of the book is the same as the original version. The most striking difference is that Chapter 10, on the latest developments in the field of using multiples rather than removing them, has been expanded and modified according to some recent developments. I have enjoyed working on this lecture notes and I sincerely hope that this can be found back in its contents. Eric Verschuur Delft, August 2013 Table of contents     Preface                         vi  Chapter 1.  Multiples .... What's  the Problem?               1     Introduction                      1    Classification of Multiple Reflections                2     Characteristics of Multiples                  7    Impact on Seismic Imaging and Interpretation              10    Categories of Multiple Removal Methods              12    Outline of This Book                    13  Chapter 2. Multiple Removal Based on Move‐out and Dip Discrimination         15    Introduction                      15    Principle of Multiple Removal by Move‐out Discrimination          15    F‐K and Radon Transforms                  17    Multiple Removal by Filtering in the F‐K or Radon Domain         27     Multiple Suppression via the Parabolic Radon Domain            28    Towards High‐Resolution Radon Transforms             30     Limitations of Multiple Removal by Move‐out Discrimination          34    Multiple Removal by Target‐Oriented Dip Filtering           37  Chapter 3. Predictive Deconvolution                  40    Introduction                      40    Convolution and Correlation Concept                40    Designing Adaptive Filters by Least‐Squares Optimisation          44    Predictive Deconvolution Basics                 49    Extending the Predictive Deconvolution Concept           55  Chapter 4. Multiple Removal by Wave Field Extrapolation           65    Introduction                      65    Forward and Inverse Wave Field Extrapolation              65    Multiple Prediction by Wave Field Extrapolation             72    Application in the Wave Number and Linear Radon Domain         81   Chapter 5. Principles of Surface‐Related Multiple Elimination           84    Introduction                      84 Derivation of SRME for the 1D Situation               84    Formulation of SRME for the 2D and 3D Situation           92    Adaptive Version of SRME                  96    Iterative Implementation of SRME                99    Relation between Multiple Prediction and Subtraction Methods        103  Chapter 6. Practical Aspects of Surface‐Related Multiple Elimination         105    Introduction                      105    Effect of Missing Data for SRME                 105    Shallow Water Multiple Removal Strategy              116    Multiple Removal for Land Data                120     Application of SRME in Different Data Domains             123  Chapter 7. Adaptive Subtraction of Predicted Multiples              131    Introduction                      131    Least‐Squares Subtraction Strategies               132    Alternative Subtraction Techniques               144  Chapter 8. Towards 3D Multiple Removal                151    Introduction                      151    Multiples in Complex 3D Environments               151    3D SRME: Theory                    158    3D SRME: Solutions via Data Interpolation              162  Chapter 9. Internal Multiple Removal                  174    Introduction                      174    Internal Multiple Removal by Move‐out Discrimination           176    Extending the SRME Concept to Internal Multiples            178    Internal Multiple Removal by Inverse Scattering            183    Layer‐Related Internal Multiple Elimination             186    Hybrid and 3D Internal Multiple Removal Strategies           191    CMP‐Oriented and Post‐Stack Strategies               192  Chapter 10. Removing or Using Multiples?                195    Introduction                      195    Transforming Multiples into Primaries               195    Estimation of Primaries by Sparse Inversion             203    Including Multiples in the Migration Process             207 Including Multiples in the Inversion Process             216    The Multiples May Become Our Friends...              216  Biography                        218  References                        219  Acknowledgements                      233  Index                          236 Chapter 1 Multiples .... What’s the problem? Introduction Seismic reflection measurements are typically made with sources and receivers positioned at the surface of the earth, while recording reflections from inhomogeneities in the subsurface. Seismic imaging algorithms aim at focussing the energy back to the reflection points in the subsurface, thus creating an image of the reflection properties of the earth. Most of these imaging algorithms make the assumption that all scattered energy has been reflected in the subsurface only once, such as shown by the yellow lines in Figure 1.1. In practice, however, each reflecting or scattering object in the subsurface does not make any difference between waves travelling downward or upward. With other words, acoustic waves that are on their way back to the surface will pass shallower inhomogeneities, which results in a secondary, downward scattering of energy. As a result multiple reflection will occur, which may eventually end up at the seismic receivers, as indicated by the blue lines in Figure 1.1. These multiple reflection events are normally considered as noise and need to be removed from the seismic data in order to avoid confusion in the interpretation of the seismic images at a later stage. This is done in the seismic data processing stage by dedicated procedures, which are often referred to as multiple removal or multiple suppression methods. This course book will treat the most common methods in use today for the removal of multiple reflections. But before multiple removal methods are introduced we will take a closer look at the multiple reflections that occur in seismic data. We will categorise the different types of multiples and see how multiples can be recognized in seismic data. 1 Figure 1.1: Primary reflections have only o ne upward reflection in the sub surface (yellow lines) and multiple reflections have at least one downward reflection (blue lines). Classification of multiple reflections There are several ways to categorise multiple reflections. First, we will consider the interface where they have their shallowest downward bounce. In Figure 1.2a two multiple reflection paths have been drawn. The first multiple has one downward bounce at the first reflector below the surface. This we call an internal multiple related to the first reflector (e.g. the water bottom for the marine case). The second multiple path in Figure 1.2a has two downward bounces at different reflectors: one at the surface and one at the first reflector. We will relate this multiple reflection event to the shallowest interface where downward reflection takes place, so in this case it is a surface-related multiple. With this in mind, surface-related multiples can be defined as those multiples, which do not exist anymore if the surface of the earth becomes transparent for acoustic energy. This is illustrated in Figure 1.2b. In the case of internal multiples, all reflectors above and including the interface of reference should become acoustically transparent before they disappear. With the same reasoning, the first event in Figure 1.3 is a surface-related multiple and the second event in Figure 1.3 is a water bottom-related internal multiple, as it will disappear when both the surface and the water bottom would become acoustically transparent. Figure 1.2: a) Two types of multiple reflections. b) Surface-related multiples are those multiples that disappear when the free surface would become transparant. Figure 1.3: Multiples are classified by their shallowest reflection boundary. a) Example of a surface-related 2 multiple. b) Example of a water bottom-related internal multiple. Some multiple removal methods address specific types of multiples. Therefore, it is good to divide the surface-related multiples into sub-categories. In Figure 1.4a, b and c three types of surface-related multiples are illustrated, where for convenience the first layer is assumed to be a water layer. The multiples depicted in Figure 1.4a are referred to as water layer multiples or water bottom multiples, which represents energy that propagates up and down in the water layer without ever travelling below the water bottom. Figure 1.4b describes water layer reverberations, which are events that have reflected below the water bottom once, and have one or more multiple reflections in the water layer. Note that these reverberations can occur at the source side, at the receiver side or both. Next, there are surface-related multiples that have two or more reflections below the water bottom. This category does not have a specific name, and are referred to as ‘other surface-related multiples’. These multiples can be important in the case of one or more strong reflecting structures below the water bottom, such as the top of a salt layer. Note that a multiple with two or more sub-bottom reflections and with one or more additional reverberations in the first layer could be categorized as being into both categories ‘water layer reverberations’ and ‘other surface-related multiples’. For consistency, they are referred to – if at all – as reverberations, as that is the shallowest part of such a surface-related multiple. Finally, multiples that have no downward bounce at the surface are called internal multiples (Figure 1.4d). Figure 1.4: Different categories of multiples. a) Multiples that bounce within the first layer. b) Multiples that have at least one bounce in the first layer. c) Multiples related to the surface, but that have no bounce in the first layer. d) Internal multiples. Note that a), b) and c) are all surface-related multiples. For a field dataset all these types of multiples have been indicated. Figure 1.5 shows a stacked section from a 2D seismic marine line in the Nordkapp area, which is the most northern part in Norway. The line crosses two salt domes, which can be recognized in the stack as the structures around CMP number 900 and around CMP number 2400. As the water bottom is reasonably flat, the water layer multiples are recognized as horizontal events that cross the reflections of the geologic 3

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