Seismic Attributes
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Seismic attributes are additional data obtained from seismic data that provide information beyond just structure. They are generated to enhance structural and stratigraphic features, locate misinterpretations, and provide information on lithology, facies or fluid content for reservoir characterization. Seismic attributes can be classified as physical attributes derived from pre-stack or post-stack data, geometric attributes like dip and curvature, or instantaneous attributes like frequency and phase. Case studies demonstrate how attributes are extracted and analyzed from 3D seismic volumes.
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Seismic Attributes .pptx
Seismic Attributes include pre-stack, post-stack data and Physical and Geometric Attributes of Seismic data.
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Seismic attribute analysis using complex trace analysis
The document discusses seismic attributes, which are measurements or properties obtained from seismic data that provide information about rock properties. It defines various types of attributes such as pre-stack, instantaneous, physical, and multi-trace attributes. The document also discusses the analysis of key seismic attributes like reflection strength, instantaneous phase and frequency through the use of complex trace analysis. Finally, it concludes that seismic attributes are important tools that help interpreters extract more information from seismic data for applications like hydrocarbon exploration and reservoir characterization.
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The document discusses using 3D seismic attributes for reservoir characterization. It provides an overview of seismic reflection methods and defines seismic attributes as any measurement derived from seismic data. Common types of attributes are described including time, complex trace, window, Fourier and multi-trace attributes. The document gives examples of attributes like envelope, phase, frequency and coherence that can provide information on lithology, thickness, faults and fractures. Methods of interpreting attribute data from 3D volumes are outlined. The document concludes by providing examples of how attributes can be used for reservoir characterization tasks like fault interpretation and porosity estimation.
Seismic Attributes
The oxford dictionary defines an attribute as, “a quality ascribed to any person or thing”. We have extended this definition to: “seismic attributes are all the information obtained from seismic data, either by direct measurements or by logical or experience based reasoning
In reflection seismology : aseismic attributes is a quality extracted or derived from seismic data that can be analyzed 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
Over the past decades, we have witnessed attribute developments track breakthroughs in reflector acquisition and mapping, fault identification, bright spot identification, frequency loss, thin bed tuning, seismic stratigraphy.
Bp sesmic interpretation
Seismic data interpretation aims to tell the geologic story contained in seismic data by correlating seismic features with known geological elements. The summary outlines key concepts including:
1. Reflection, velocity, P and S waves, polarity, phase, resolution and detectability which influence seismic interpretation.
2. Depositional environments, rock types, faults and folds are interpreted from seismic data to understand the subsurface petroleum system.
3. Structural and stratigraphic interpretation including seismic attributes, multi-attribute logging, direct hydrocarbon indicators, and AVO/impedance inversion are used to characterize reservoirs.
Seismic data processing
This document outlines a simple seismic data processing workflow. It begins with acquiring field data and updating the geometry. Next steps include trace editing, amplitude recovery, and noise attenuation. Velocity analysis and normal moveout correction are then applied. Deconvolution and multiple attenuation are performed before migration. Post-migration involves stacking, filtering and amplitude scaling to produce the final processed seismic section. The goal of seismic processing is to produce high quality seismic data for geological interpretation and hydrocarbon exploration.
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Principles of seismic data interpretation m.m.badawyFaculty of Science, Alexandria University, Egypt
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Recommended
Seismic Attributes .pptx
Seismic Attributes include pre-stack, post-stack data and Physical and Geometric Attributes of Seismic data.
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Using 3-D Seismic Attributes in Reservoir Characterization
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Seismic Attributes
The oxford dictionary defines an attribute as, “a quality ascribed to any person or thing”. We have extended this definition to: “seismic attributes are all the information obtained from seismic data, either by direct measurements or by logical or experience based reasoning
In reflection seismology : aseismic attributes is a quality extracted or derived from seismic data that can be analyzed 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
Over the past decades, we have witnessed attribute developments track breakthroughs in reflector acquisition and mapping, fault identification, bright spot identification, frequency loss, thin bed tuning, seismic stratigraphy.
Bp sesmic interpretation
Seismic data interpretation aims to tell the geologic story contained in seismic data by correlating seismic features with known geological elements. The summary outlines key concepts including:
1. Reflection, velocity, P and S waves, polarity, phase, resolution and detectability which influence seismic interpretation.
2. Depositional environments, rock types, faults and folds are interpreted from seismic data to understand the subsurface petroleum system.
3. Structural and stratigraphic interpretation including seismic attributes, multi-attribute logging, direct hydrocarbon indicators, and AVO/impedance inversion are used to characterize reservoirs.
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Principles of seismic data interpretation m.m.badawy
Principles of seismic data interpretation m.m.badawyFaculty of Science, Alexandria University, Egypt
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Seismic attribute is the only way that can enable interpreter to understand seismic data very well and generate new view for his model, but there are hundreds of seismic attributes and there are many classes that make interpreters afraid of using new thing so in this course explain both theoretical and application for each one and try to generate workflow to help interpretation for different geological environment.
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Sonic logs measure the travel time of sound waves through formations to determine properties like porosity. There are four main wave types measured: compressional, shear, Stoneley, and mud waves. Early sonic tools had issues, but later tools like dual receiver and borehole compensated tools overcame problems by using multiple receivers and transmitters. Sonic logs can be used to calculate porosity through a simple relationship between travel time and porosity. They also provide qualitative insights into lithology, texture, compaction, and identifying fractures. Sonic logs help calibrate seismic data by providing very high resolution formation measurements.
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1) Offset refers to the horizontal distance between a seismic source and receiver. It causes a delay in the arrival time of reflections that can be corrected before stacking seismic traces.
2) Acoustic impedance is the product of density and seismic velocity, which varies between rock layers and affects the reflection coefficient at layer boundaries.
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Unconventional seismic interpretations using seismic attributes workshop usin...
This five day Unconventional Seismic Interpretation Course is designed for E&P professionals and aims to provide essential knowledge on visualization, integration, and interpretation techniques that have been recently developed for seismic data. This course assumes an advanced knowledge of seismic interpretation and concentrates on the role of the seismic attributes in the search for oil and gas.
Course Objectives:
By the end of this course delegates will learn about:
• To acquire skills in interpretation of 3-D seismic data using seismic attributes
• Effective using new seismic interpretation techniques (geobodies extraction, multiattributes, hybrid attributes)
• To enhance theoretical knowledge of seismic structural interpretation, stratigraphic interpretation, reservoir identification and evaluation, and horizon and formation attributes
• Be familiar with seismic interpretations software
Skype: self tranning
Facebook: https://www.facebook.com/Initiative.Courses
Mail: selftrainning@gmail.com
Phone: +201120828201 -01201141235
Vohs_Andrew_B_Geoscientist
Andrew B. Vohs is a geologist seeking employment with skills in subsurface mapping, seismic interpretation, attributes analysis, and software like Petrel, ArcGIS, Kingdom, and OpendTect. He has a Master's degree in geology from Kansas State University and a Bachelor's degree from the University of Kansas. His experience includes research projects analyzing 3D seismic data and attributes, teaching geology courses, tutoring, and lab work. He is a member of professional organizations AAPG and SEG.
Poster Slide
This study uses seismic attribute analysis of a 3D seismic survey covering a producing lease in the Morrison Northeast oil field in Clark County, Kansas. The target horizon is the Ordovician Viola Limestone, which produces from paleotopographic traps formed by erosion beneath an unconformity. Nine wells were drilled targeting thickened sections of the Viola identified on seismic data, but two were dry holes and one was converted to a disposal well. Attributes analysis found producing wells cluster at lower amplitudes, while dry holes and disposal wells are at higher amplitudes. Future work will analyze lithofacies from drill cuttings and multi-attribute displays to better understand controls on Viola production.
Insurance Industry M&A in 2006
There were 216 M&A deals in the insurance brokerage industry in 2005, increasing 22% to 264 deals in 2006. Insurance broker deals increased 50% from 2005 to 2006, while bank deals rose slightly. However, bank acquisitions in 2006 made up the smallest percentage of total deals in 7 years. Many deals were aimed at expanding geographic reach and cross-selling additional services to clients. Private equity firms have increasingly acquired insurance brokers as an alternative to the public market.
Lease Operating Report
1. The document contains production data from two oil leases, Coe #6 & #7 and Ragsdale #2, including monthly production volumes, prices, revenue values, and expenses.
2. It lists the date, price per barrel, barrels produced, revenue value, revenue to the working interest owner, and daily production for each lease over multiple months between 2005-2008.
3. The data shows historical production, pricing, and revenue information for evaluation and analysis of the financial performance and production of the two oil leases.
RESERVOIR-CHARATERIZATION_Assignment-45
This document provides a summary of Gil A. Anibal's presentation on analyzing 3D seismic attributes and well data. The presentation compares seismic attributes on horizons and phantom horizons at depths of 1108ms-1733ms and 1460ms-1733ms. Attributes like RMS, shale indicator, thin bed indicator, and spectral decomposition help enhance geological features and identify lithofacies changes, indicating sand-filled stream channels. The analysis aids interpretation of turbidite deposition and identifies potential zones of clean sands.
Matter
The document discusses the key properties and phases of matter. It defines the four main phases as solid, liquid, gas and plasma. It describes the properties of each phase including particle arrangement, shape, volume and ability to flow. It also discusses physical and chemical changes, and defines phase changes like melting, freezing, vaporization, condensation and sublimation that occur with the addition or removal of energy. Key properties discussed include mass, volume, density, viscosity and surface tension.
Project final report pdf
This document presents carpet plots generated using MATLAB for a laminate composed of 8 layers with different orientations. The plots show:
1. The in-plane modulus Ex versus thickness fraction for +/- 45 degree layers.
2. The in-plane Poisson's ratio versus thickness fraction for +/- 45 degree layers.
3. The shear modulus Gxy versus thickness fraction for +/- 45 degree layers.
4. The bending modulus Exb versus thickness fraction for +/- 45 degree layers.
5. The Poisson's ratio in bending vxy_b versus thickness fraction for +/- 45 degree layers.
The plots match those in the reference textbook, verifying the MATLAB code used to generate the carpet plots.
Api Gravity
API gravity is a measure of how heavy or light a petroleum liquid is compared to water. It uses a scale of degrees where higher numbers mean less dense and lighter. Crude oil is classified based on its API gravity into light, medium, and heavy. Oil in the 40-45 degree range is most desirable as it yields more gasoline and diesel fuel. Lighter or heavier crudes are penalized similarly because they produce less of these desirable products for refineries.
Presentation
The document summarizes a thesis on interpreting seismic data from the Dhodak gas field in Pakistan. It outlines objectives to interpret surface structure, horizons, and lithology from seismic data and well logs. Key interpretations included time and depth maps of formations, fault modeling, well correlations, and petrophysical analysis using cross plots. Conclusions indicated a north-south trending pop-up structure with low-throw faults typically under 100msec. Velocities were high from 4000-7000m/sec. Faults likely formed during the Eocene with deformation of the Chiltan formation.
Thesis-DelgerLhamsuren
This document is a diploma thesis submitted to the University of Bonn titled "Interaction Techniques for Immersive Seismic Interpretation". It was written by Delger Lhamsuren under the supervision of Prof. Dr. Reinhard Klein and Dipl.-Inform. Stefan Rilling. The thesis explores applying stereoscopic 3D and specialized interaction techniques using multiple input devices to improve the process of seismic interpretation, specifically for identifying faults. It presents the background on geothermal energy exploration and seismic interpretation, reviews existing seismic interpretation software, discusses the state of the art in 3D interaction techniques, and proposes new interaction techniques to be evaluated in a user study.
Industrial Manufacturing Business Model & Trends
The document summarizes the metals industry supply chain, which includes four main layers: primary metals producers, metal service centers, fabricators/finishers, and retail stores. It provides details on each layer, including the types of companies involved, products/services offered, and trends within the industries. The primary trends discussed for metal service centers and fabricators/finishers are industry consolidation driven by economies of scale and changing customer demands respectively.
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Seismic Attributes
- 1. Supervision Prof . Dr. Ahmed Sayed Abu El-Ata
- 2. What is Seismic Attributes? Seismic attributes are all the information obtained from seismic data, either by direct measurements or logic or by experienced-based reasoning . Why do we generate Seismic Attributes? To Enhance structural and stratigraphic features for the interpreter on seismic sections . Locate misinterpretation . Get information on lithology, facies or fluid content. Reservoir characterisation
- 3. The Historical Prespective Of Seismic Attributes A time line of seismic attribute development
- 4. Classification of Seismic Attributes Physical Attributes attributesPre -stack Post-stack attributes Geometric Attributes DipLike, Azimuth Coherence Curvature Ant Tracking
- 6. Seismic time slice Coherence time slice
- 8. Case Study A segment of a seismic
- 10. A 3D view of the stratal cube extracted from the energy attribute .
- 11. Thank You