Integrated seismic interpretation, 2d modeling along with. Attributes is designed to create and extract a collection of advanced, multitrace seismic attributes to enhance the seismic interpreters ability to analyse frequency content, reduce noise, detect fractures and other discontinuous features in seismic volumes. The rapid progress in seismic attributes started after the using of 3d seismic data and the colored seismic profiles barnes, 2001, chopra and marfurt, 2005. This is concerned with study of wave shape, polarity, continuity, dip, frequency, phase, and amplitude. Understanding attributes and their use in the application. Advantages of 3d and pitfalls of 2d are extensively discussed in torvela et al. Seismic curvature attributes for mapping faultsfractures. Although the calculated frequency values at times t 1 and t 2 shown by the solidline curve are physically impossible because they are negative, these anomalous frequency behaviors are some of the most useful seismic attributes that an interpreter can use.
Pdf use of seismic attributes for sediment classification. Principal component analysis and selforganizing maps. Furthermore, fluvial channel interpretation using seismic attributes is just one aspect of seismic geomorphology. The objective of seismic attributes is to enhance the visibility of static and dynamic characteristics of subsurface.
Seismic attributes for reservoir studies petrowiki. A brief history of attributes the first attributes were single trace instantaneous attributes, introduced by taner et al. Taner 3 defined seismic attributes as the information obtained either by direct. Avo intercept, avo gradient, intercept multiplied by gradient, far minus near, fluid factor, etc. The efficiency of seismic attributes to differentiate between. Seismic attributes analysis for reservoir characterization. Seismic attributes may highlight geological or geophysical effects, thus leading to a quicker analysis of the data. Offshore niger delta article pdf available in petroleum and coal 576.
Whether you need to visualize and interpret 2d and 3d seismic data, condition prestack gathers, analyze microseismic data, or model the effects of different porosity, lithology, or fluids on 1d, 2d. The advancement in the ability to generate seismic attributes and the growing emphasis on production geophysics has led to the widespread use of seismic attributes as a predictors of reservoir. Application of seismic attributes for delineation of. Seismic attributes are defined as all the information obtained from seismic data, either by direct measurements or by logical or experience based reasoning 1. The present case study aims to discuss the importance of seismic attributes and how we interpret 2d seismic section support 2d seismic. The effective seismic attributes in porosity prediction for different rock types. Seismic attributes are a powerful aid to seismic interpretation, providing geoscientists with alternative images of faults and channels that can be used as components in unraveling the depositional environment structural deformation history. Coherence is a continuity attribute that detects edges or discontinuities in seismic data along a horizon or time slice. Paradise is the only software product in the industry with a 2d colormap representing neuron classifications of attributes. The directionality attribute captures this fact as. Seismic attributes reveal information, which are not readily apparent in the raw seismic data. In reflection seismology, a seismic attribute is a quantity extracted or derived from seismic data that can be analysed in order to enhance information that might be more subtle in a traditional seismic image, leading to a better geological or geophysical interpretation of the data. Channels will exhibit this low coherency across the seismic trace as seen in figure 2.
The most recent papers have concentrated on reservoir characterization. Oct 09, 2012 application of volumetric seismic attributes to delineate fault geometry. The present work considers 4 seismic datasets that involves both 2d kifl and baltim fields and 3d. Notably, the proposed three attributes can be used in 2d as well as in 3d seismic volumes. An application of seismic attributes analysis for mapping of gas. Attribute values must be pasted onto a twt surface, instead of simply calculating the attributes on the surface as. Analysis to decipher the hydrocarbon potential of missakeswal.
Some people call seismic imaging methods the advanced processing. Seismic attributes have been a common tool in seismic data analysis since the mid to late seventies. The milton dobrin lecture april, 2010 brian russell hampsonrussell. New technology seismic seismic interpretation august 9, 2007 hays, ks. Seismic pattern recognition has been developing quietly but steadily for twenty years, and the first practical applications are now appearing. While no direct relationships have been established between all of the attributes and the physical and geological characteristics of the earth, almost all of the articles describe various uses of seismic attributes as effective discriminators for the purpose of classification. Seismic attributes a historical perspective satinder chopra and kurt j. In year 2001 olkiluoto was selected for the site of final disposal. Currently construction of the underground research facility, onkalo, is going on at the olkiluoto site. Barnes 1996 extended these attributes to 2d and 3d. While seismic attributes have been used for nearly four.
Todays low commodity prices call for the utilization of all available data. Volumetric curvature attributes adding value to 3d seismic data interpretation seismic data that has been subjected to pc filtering will in general have higher a signaltonoise ratio, exhibit sharper discontinuities, and provide enhanced images of faults, fractures. This chapter discusses some of the advanced imaging algorithms and seismic attributes and their roles in processing and interpreting seismic data. In a 2d seismic section, faults indicate displacements along fractures. Using 3d seismic attributes in reservoir characterization. Seismic attributes are essentially derivatives of the basic seismic measurements i. Since then many new attributes were derived and computed. Understanding attributes and their use in the application of neural. Seismic attributes are the components of the seismic data which are obtained by measurement, computation, and other methods from the seismic data. Key to the analysis is discovering the linear, and often nonlinear, relationships between the seismic trace and production indicators. Horizon attributes were first used in the mid1980s for interpreting fault traces on reservoir horizons. A study to understand the relationships between seismic attributes extracted from 2d highresolution seismic data and the seafloors sediments of the surveyed area. How to load 2d seismic data to seisworks house of sciences. The pca reduces a large set of seismic attributes to indicate variations in the.
The curvature measure is an indicator of attribute pdf. However, it is not at all obvious how the geological significance of subtle lateral variations observed on a conventional 2d seismic crosssection can be deduced. Pdf quantitative use of seismic attributes for reservoir. Examples of seismic attributes can include measured time, amplitude, frequency and attenuation, in addition to. Sep 19, 2007 using 3d seismic attributes in reservoir characterization 1. It is computed by measuring the similarity of seismic waveforms in different directions. Modern seismic attributes transforms classical structural. Pdf using seismic attributes for reservoir characterization. The goal of seismic attribute analysis is to improve the spatial prediction of structural and stratigraphic features, as well as petrophysical and geomechanical rock properties throughout the reservoir. Certain fluvial features such as sinuosity, channel width, channel and levee deposits, oxbow lakes, and general flow direction can be highlighted and identified using seismic attributes. The effective seismic attributes in porosity prediction.
Use of seismic attributes in reservoir characterization. Seismic attribute analysis for reservoir characterization mohammad anees summary seismic attributes can be important qualitative and quantitative predictors of reservoir properties and geometries when correctly used in reservoir characterization studies. Attributes are measurements based on seismic data such as polarity, phase, frequency, or velocity. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. A neural map is a 2d representation of the result of classifying.
Seismic attributes were introduced as a part of the seismic interpretation in early 1970s. Marfurt arcis corporation, calgary, alberta, canada allied geophysical laboratories, university of houston, houston, texas, usa abstract a seismic attribute is a quantitative measure of a seismic characteristic of interest. Seismic interpretation below tuning with multiattribute analysis. The primary objective of this course is to gain an intuitive understanding of the kinds of seismic features that can be identified by 3d seismic attributes, the sensitivity of seismic attributes to seismic acquisition and processing, and how independent seismic attributes are coupled through geology. The 2d colormap is used interactively with the paradise universal viewer to select and isolate specific neurons which have classified a set of seismic attributes from the som process this enables the interpretation of neuronidentified geologic features and their geometries. This capability is fully integrated with the kingdom platform to create a timeefficient. Seismic 2d reflection processing and interpretation of shallow refraction data abstract posiva oy takes care of the final disposal of spent nuclear fuel in finland. Kingdom geophysics provides faster interpretation and data.
Since then there has been an explosion in the number of attributes that can be generated and displayed in 3d interpretation systems. But no matter how new and sophisticated the algorithm, seismic pattern recognition rests on an old and simple foundation. Seismic volume attributes for fracture analysis geological society. Seismic volume attributes are introduced for the characterization of subtle fault patterns. Reconnaissance surveys of 2d seismic data are acquired before most 3d seismic surveys to define the area of interest and regional trends. The anelastic attenuation factor or q is a seismic attribute that can be determined from seismic reflection data for both reservoir characterisation and advanced seismic processing. Examples from the outer fold and thrust belt, deepwater niger delta joint development zone. Jul 16, 2017 this is part 1 of a tutorial describing the method of generating seismic attributes in petrel 2015. Pdf on jul 31, 2017, salomao nunes and others published the use of seismic attribute in 2d data. Texture attributes for detecting salt bodies in seismic data. The complex seismic trace attributes are found in some instances to correlate with lithological changes and historically have been used to characterize hydrocarbon reservoirs. From 19951999, amoco researchers introduced two new types of spatial attributes. The workflow for creating 2d attributes showing the work around required with creating attributes from surfaces from 2d seismic data.
The efficiency of seismic attributes to differentiate. Seismic attributes were introduced to seismic interpretation four decades ago and now form a part of almost every seismic interpretation workflow. Interpretation, 2d modeling along with petrophysical and seismic attribute. Here is a portion of a 2d seismic line showing a gas sand brightspot. In the early works, seismic attributes were to a large degree limited to capture 1d effects occurring along the vertical seismic. Subsurface structure analysis using computational interpretation. A neural map is a 2d representation of the result of classifying and associating the data, which may be in n dimensions, such as many attributes in. Understanding attributes and their use in the application of neural analysis. As seismic attributes are features highly influenced by the medium through which the seismic waves are propagated. Todays seismic interpreters must deal with enormous amounts of information, or big data, including seismic gathers, regional 3d surveys with. The course content covers the most common seismic attributes, discusses the theory, attribute management and visualization. Spectral decomposition, based on the fourier transform.
Unsupervised neural analysis of seismic attributes has been shown to be. Seismic attributes a promising aid for geologic prediction. Using 3d seismic attributes in reservoir characterization susan nissen geophysical consultant mclouth, ks kansas next step 2007 seminar. Geologic pattern recognition from seismic attributes. Marfurt 2005 defined seismic attribute as any measure of seismic data that helps in visualization or quantification of features of interpretation of attributes often appear in section as bright. Use this section to provide links to relevant material on websites other than petrowiki and onepetro see also. Seismic attribute analysis provides information related to structure, stratigraphy, and reservoir properties. Attributes for fluvial channel interpretation seg wiki. The focus is on 2d seismic images, such as seismic slices and seismic sections. Well data are gotten from rock samples and measurements at depth from a wellbore. In this course the students learn the theory and practical workflows needed for effectively using post stack seismic attributes in seismic interpretation. The objective of seismic attributes is to enhance the visibility of static and dynamic characteristics of subsurface structures by quantifying both amplitude and phase features observed in seismic data, through multiple image. Seismic attributes with rms it is possible to derive an array of seismic attributes which.
Seismic attributes fall into two broad categories those. Stewart abstract attribute analysis of 3d seismic data in time slices presents a great opportunity for. Application of seismic attributes for delineation of channel. The use of seismic attributes to enhance fault interpretation. The application of the different seismic attributes from the seismic signal processing library in petrel software has revealed that the first derivative, second derivative, trace automatic gain control agc and trace gradient attributes have no significant contrast between the examined massive limestone of khoman a unit and the nonmassive.
While seismic attributes are routinely applied to 3d data, they are less commonly applied to 2d data. The base map of 2d seismic lines and location of wells. How to load 2d seismic data to seisworks house of sciences sliding panel tracks was certainly compelling and enlightening. Seismic attribute analysis for reservoir characterization. Well data required for interpretation are wireline logs gamma ray logs, resistivity logs, porosity log, sonic logs, density logs and neutron logs or equivalent rock property model, check shot data. Seismic attributes are controlled by various components of the seismic wavelet including. Initially, 18 instantaneous seismic attributes were generated from the 3d data in this area see table 2. Pdf for each class using a nonparametric function with a prazen window. Seismic attributes and their applications in seismic. Applications of convolutional neural networks cnn to seismic interpretation. A seismic interpretation study should access the following data sets 2d or 3d seismic data cube.
The third and final stage of the hierarchy of seismic interpretation is seismic attribute analysis taner and sheriff, 1977. These seismic attributes were put into a pca evaluation to determine which produced the largest variation in the data and the most meaningful attributes for som analysis. Seismic attributes seismic data interpretation using. There are many astonishing features that are identified in the current study, which could not otherwise be easily enhanced with the help of 2d seismic data. Nevertheless, we limit our experiments in this paper to 2d seismic data sets. Application of volumetric seismic attributes to delineate fault geometry. Seismic interpretation an overview sciencedirect topics. Most of these attributes are of commercial interest. Seismic 2d reflection processing and interpretation of. Seismic attributes such as coherency, frequency are also appropriate for lithological discrimination, which are sen sitive to the channel edges are applied for the channel delineation and their geometrical analysis. A seismic attribute is any measurable property of seismic data, such as amplitude, dip, phase, frequency, and polarity that can be measured at one instant in timedepth over a timedepth window, on a single trace, on a set of traces, or on a surface interpreted from the seismic data schlumberger oil field dictionary, 2015.
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