Python Programing Language in GeoScience-Notes.pdf
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This document discusses using Python for seismic analysis. It provides numerous step-by-step code examples for using Python to visualize, analyze, and model geological data. The code examples are specifically aimed at teaching Python to geologists and involve reading seismic data files, plotting seismic traces and data, and using Python libraries like NumPy, Matplotlib, and Obspy for seismic processing tasks.
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Applications Gravity survey Magnetic survey Electrical resistivity survey Sei...University of Azad Jammu & Kashmir
This document summarizes an academic presentation on applications of geophysical survey methods, including:
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This document summarizes an academic presentation on applications of geophysical survey methods, including:
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Geomagnetic method
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Well log (The Bore Hole Image)
1> History
2> Electrical logs
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4> Porosity logs
a)Density
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c)Sonic
5> Lithology logs
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Using outcrop data from three composite sequences (Sant Vicenç, Vilomara and Manresa), a 3D facies model was built. The key sequential traces of the studied area georeferenced and digitalized on to photorealistic terrain models, were the hard data used as input to reconstruct the main surfaces, which are separating transgressive and regressive stacking patterns. Regarding the facies modelling has been achieved using a geostatistical algorithm in order to define the stacking trend and the interfingerings of adjacent facies belts, and five paleogeographyc maps to reproduce the paleogeometry of the facies belts within each system tract.
The final model has been checked, using a real cross section, and analysed in order to obtain information about the Delta Front facies which are the ones susceptible to be analogous of a reservoir. Attending to the results including eight probability maps of occurrence, the transgressive sequence set of Vilomara is the greatest accumulation of these facies explained by its agradational component.
Gravity method
The gravity method involves measuring variations in the Earth's gravitational field to determine subsurface density variations. Gravity surveys measure differences in gravitational attraction at surface locations. After collecting data at regular intervals, corrections are applied for drift, elevation, tides and topography. The corrected anomalies are analyzed to infer subsurface geology, locating structures like faults, voids or buried valleys. Common applications include engineering, environmental and geothermal studies.
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This document discusses using Python for solving problems in geophysics. It begins by defining geophysics as the application of physics to the study of the Earth, its environments, and its processes. It then discusses various geophysical themes like gravity, heat flow, electricity, fluid dynamics, magnetism, radioactivity, and vibration. The rest of the document focuses on different geophysical libraries and software that can be used with Python, applications of geophysics to energy exploration and production, and challenges of dealing with big data in upstream oil and gas.
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Swh SPWLA distinguished lecturer
Why we need a Water Saturation vs. Height function for reservoir modelling.
Definitions: Free-Water-Level, HWC, Net, Swirr
Several case studies showing applications to reservoir modelling.
To determine a field’s hydrocarbon in place, it is necessary to model the distribution of hydrocarbon and water
throughout the reservoir. A water saturation vs. height (SwH) function provides this for the reservoir model. A
good SwH function ensures the three independent sources of fluid distribution data are consistent. These being
the core, formation pressure and electrical log data. The SwH function must be simple to apply, especially in
reservoirs where it is difficult to map permeability or where there appears to be multiple contacts. It must
accurately upscale the log and core derived water saturations to the reservoir model cell sizes.
This presentation clarifies the, often misunderstood, definitions for the free-water-level (FWL), transition zone
and irreducible water saturation. Using capillary pressure theory and the concept of fractals, a convincing SwH
function is derived from first principles. The derivation is simpler than with classical functions as there is no
porosity banding. Several case studies are presented showing the excellent match between the function and
well data. The function makes an accurate prediction of water saturations, even in wells where the resistivity
log was not run, due to well conditions. Logs and core data from eleven fields, with vastly different porosity and
permeability characteristics, depositional environments, and geological age, are compared. These
demonstrates how this SwH function is independent of permeability and litho-facies type and accurately
describes the reservoir fluid distribution.
The function determines the free water level, the hydrocarbon to water contact (HWC), net reservoir cut-off,
the irreducible water saturation, and the shape of the transition zone for the reservoir model. The function
provides a simple way to quality control electrical log and core data and justifies using core plug sized samples
to model water saturations on the reservoir scale. The presentation describes how the function has been used
to predict fluid contacts in wells where they are unclear, or where the contact is below the total depth of the
well. As the function uses the FWL as its base, it explains the apparently varying HWC in some fields and how
low porosity reservoirs can be fully water saturated for hundreds of feet above the FWL.
This simple convincing function calculates water saturation as a function of the height above the free water level
and the bulk volume of water and is independent of the porosity and permeability of the reservoir. It was voted
the best paper at the 1993 SPWLA Symposium in Calgary.
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Seismic waves are energy propagated through the earth by earthquakes or artificial sources. There are two types of body waves (P and S waves) that travel through the earth and surface waves (Rayleigh and Love waves) that travel along the earth's surface. Seismic wave velocities depend on the elastic properties and density of the earth materials and are used to determine subsurface layering and structures. Analysis of travel times and slopes of seismic wave arrivals on record sections allows calculation of subsurface velocities and reflection/refraction of waves at interfaces between subsurface layers.
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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.
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1. Magnetotelluric (MT) methods were used to develop a geothermal conceptual model and drilling strategy for the Sibayak geothermal field in Indonesia.
2. 2D inversion of MT data revealed an up-dome shaped resistive layer below an alteration cap, indicating the potential geothermal reservoir.
3. Integration of MT data, geology, geochemistry and well data allowed construction of a conceptual model depicting the reservoir zone, alteration zones, and fluid flow paths that guided successful production well siting.
Evaporite deposits
Most evaporites are derived from bodies of Sea-water, but under special conditions, Inland lakes may also give rise to evaporite deposits, particularly in regions of low rainfall and high temperature.
Evaporite deposits are excellent indicators of paleoclimate (need a hot and arid climate for major evaporite deposits to form)
Seismic interpretation work flow final ppt
The document describes seismic interpretation workflows, including conventional and unconventional techniques. Conventional techniques involve horizon interpretations, fault picking, and tying seismic data to well logs to understand subsurface geology. Unconventional techniques analyze seismic attribute variations like amplitudes to identify hydrocarbon indicators. The workflow includes generating synthetics from well logs, interpreting horizons on seismic sections, identifying structures like faults and gas chimneys, and determining direct hydrocarbon indicators.
Geophysical Exploration
Geophysical exploration uses physical methods to measure subsurface properties without sampling. It includes passive methods that measure natural fields like gravity and magnetism, and active methods using artificial sources like seismic surveys. Seismic surveys involve generating seismic waves, including faster P-waves and slower S-waves, from sources like explosions. These waves travel through and reflect off subsurface interfaces to reveal information about geological structures and detect hydrocarbon deposits like oil and gas. Geophysical surveys are a low-cost exploration technique used to find new reserves and guide further exploration activities.
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The magnetic method detects near-surface ferrous materials by measuring anomalies in the Earth's magnetic field. When ferrous objects are placed in the magnetic field, they develop an induced magnetic field that is superimposed on the Earth's field, creating a detectable anomaly. The method works best for detecting buried ferrous metals and can be used to map geology and locate buried infrastructure through magnetic susceptibility variations in rocks.
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Well log (The Bore Hole Image)
1> History
2> Electrical logs
a)Resistivity log
3> Borehole Imaging
4> Porosity logs
a)Density
b)Neutron porosity
c)Sonic
5> Lithology logs
a)Gamma ray
b)Self/spontaneous potential
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The document discusses common pitfalls in 3D seismic interpretation and provides recommendations to improve interpretations. It notes that interpreters often rely too heavily on workstation tools rather than thoughtful geological analysis, and fail to properly understand data defects, phase and polarity, resolution limits, and amplitude information. The document emphasizes the importance of integrating seismic data with well data on character, using autotracking tools appropriately, questioning attribute selections, and differentiating between horizon and windowed amplitudes.
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The document discusses using ASTER satellite imagery and GIS for mineral exploration. It provides details on two case studies: 1) identifying gold deposits in Nevada using ASTER data integrated into a geodatabase, and 2) mapping alteration zones in India using ASTER shortwave infrared bands. The case studies demonstrate how ASTER imagery can be processed and analyzed using GIS and techniques like principal component analysis to produce geological maps and identify target areas for further mineral exploration.
Ground Penetrating Radar (GPR)
Ground penetrating radar (GPR) is a geophysical method that uses radar pulses to image the subsurface. It can detect objects, changes in material, and voids or cavities underground. GPR works by transmitting electromagnetic pulses into the ground and measuring the time it takes for the pulses to reflect back to a receiver antenna. Different materials and objects underground cause different reflections that appear as hyperbolic patterns in GPR images. GPR systems consist of a transmitter antenna, receiver antenna, control unit and display. The frequency used depends on the desired depth of penetration and resolution needed. GPR has advantages of being non-invasive, fast, and able to provide 3D images of underground structures, but its effectiveness is limited by certain soil or terrain conditions.
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Using outcrop data from three composite sequences (Sant Vicenç, Vilomara and Manresa), a 3D facies model was built. The key sequential traces of the studied area georeferenced and digitalized on to photorealistic terrain models, were the hard data used as input to reconstruct the main surfaces, which are separating transgressive and regressive stacking patterns. Regarding the facies modelling has been achieved using a geostatistical algorithm in order to define the stacking trend and the interfingerings of adjacent facies belts, and five paleogeographyc maps to reproduce the paleogeometry of the facies belts within each system tract.
The final model has been checked, using a real cross section, and analysed in order to obtain information about the Delta Front facies which are the ones susceptible to be analogous of a reservoir. Attending to the results including eight probability maps of occurrence, the transgressive sequence set of Vilomara is the greatest accumulation of these facies explained by its agradational component.
Gravity method
The gravity method involves measuring variations in the Earth's gravitational field to determine subsurface density variations. Gravity surveys measure differences in gravitational attraction at surface locations. After collecting data at regular intervals, corrections are applied for drift, elevation, tides and topography. The corrected anomalies are analyzed to infer subsurface geology, locating structures like faults, voids or buried valleys. Common applications include engineering, environmental and geothermal studies.
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This document discusses using Python for solving problems in geophysics. It begins by defining geophysics as the application of physics to the study of the Earth, its environments, and its processes. It then discusses various geophysical themes like gravity, heat flow, electricity, fluid dynamics, magnetism, radioactivity, and vibration. The rest of the document focuses on different geophysical libraries and software that can be used with Python, applications of geophysics to energy exploration and production, and challenges of dealing with big data in upstream oil and gas.
Well site geologists
Six wellsite geologists are needed for assignments in Tanzania, Mozambique, the Faroe Islands, and Norway. The responsibilities include supervising HSE matters and pore pressure evaluation, ensuring data acquisition programs are followed, interpreting logging data and samples, and communicating with drilling teams. The ideal candidates have 5+ years of experience with exploration wells, HPHT and deepwater wells, and software like Winlog, Predict, and DBR. They must be team players with strong communication and presentation skills in English.
Swh SPWLA distinguished lecturer
Why we need a Water Saturation vs. Height function for reservoir modelling.
Definitions: Free-Water-Level, HWC, Net, Swirr
Several case studies showing applications to reservoir modelling.
To determine a field’s hydrocarbon in place, it is necessary to model the distribution of hydrocarbon and water
throughout the reservoir. A water saturation vs. height (SwH) function provides this for the reservoir model. A
good SwH function ensures the three independent sources of fluid distribution data are consistent. These being
the core, formation pressure and electrical log data. The SwH function must be simple to apply, especially in
reservoirs where it is difficult to map permeability or where there appears to be multiple contacts. It must
accurately upscale the log and core derived water saturations to the reservoir model cell sizes.
This presentation clarifies the, often misunderstood, definitions for the free-water-level (FWL), transition zone
and irreducible water saturation. Using capillary pressure theory and the concept of fractals, a convincing SwH
function is derived from first principles. The derivation is simpler than with classical functions as there is no
porosity banding. Several case studies are presented showing the excellent match between the function and
well data. The function makes an accurate prediction of water saturations, even in wells where the resistivity
log was not run, due to well conditions. Logs and core data from eleven fields, with vastly different porosity and
permeability characteristics, depositional environments, and geological age, are compared. These
demonstrates how this SwH function is independent of permeability and litho-facies type and accurately
describes the reservoir fluid distribution.
The function determines the free water level, the hydrocarbon to water contact (HWC), net reservoir cut-off,
the irreducible water saturation, and the shape of the transition zone for the reservoir model. The function
provides a simple way to quality control electrical log and core data and justifies using core plug sized samples
to model water saturations on the reservoir scale. The presentation describes how the function has been used
to predict fluid contacts in wells where they are unclear, or where the contact is below the total depth of the
well. As the function uses the FWL as its base, it explains the apparently varying HWC in some fields and how
low porosity reservoirs can be fully water saturated for hundreds of feet above the FWL.
This simple convincing function calculates water saturation as a function of the height above the free water level
and the bulk volume of water and is independent of the porosity and permeability of the reservoir. It was voted
the best paper at the 1993 SPWLA Symposium in Calgary.
Seismic waves
Seismic waves are energy propagated through the earth by earthquakes or artificial sources. There are two types of body waves (P and S waves) that travel through the earth and surface waves (Rayleigh and Love waves) that travel along the earth's surface. Seismic wave velocities depend on the elastic properties and density of the earth materials and are used to determine subsurface layering and structures. Analysis of travel times and slopes of seismic wave arrivals on record sections allows calculation of subsurface velocities and reflection/refraction of waves at interfaces between subsurface layers.
Using 3-D Seismic Attributes in Reservoir Characterization
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.
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1. Magnetotelluric (MT) methods were used to develop a geothermal conceptual model and drilling strategy for the Sibayak geothermal field in Indonesia.
2. 2D inversion of MT data revealed an up-dome shaped resistive layer below an alteration cap, indicating the potential geothermal reservoir.
3. Integration of MT data, geology, geochemistry and well data allowed construction of a conceptual model depicting the reservoir zone, alteration zones, and fluid flow paths that guided successful production well siting.
Evaporite deposits
Most evaporites are derived from bodies of Sea-water, but under special conditions, Inland lakes may also give rise to evaporite deposits, particularly in regions of low rainfall and high temperature.
Evaporite deposits are excellent indicators of paleoclimate (need a hot and arid climate for major evaporite deposits to form)
Seismic interpretation work flow final ppt
The document describes seismic interpretation workflows, including conventional and unconventional techniques. Conventional techniques involve horizon interpretations, fault picking, and tying seismic data to well logs to understand subsurface geology. Unconventional techniques analyze seismic attribute variations like amplitudes to identify hydrocarbon indicators. The workflow includes generating synthetics from well logs, interpreting horizons on seismic sections, identifying structures like faults and gas chimneys, and determining direct hydrocarbon indicators.
Geophysical Exploration
Geophysical exploration uses physical methods to measure subsurface properties without sampling. It includes passive methods that measure natural fields like gravity and magnetism, and active methods using artificial sources like seismic surveys. Seismic surveys involve generating seismic waves, including faster P-waves and slower S-waves, from sources like explosions. These waves travel through and reflect off subsurface interfaces to reveal information about geological structures and detect hydrocarbon deposits like oil and gas. Geophysical surveys are a low-cost exploration technique used to find new reserves and guide further exploration activities.
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Boston Data Engineering: Kedro Python Framework for Data Science: Overview an...
Boston Data Engineering: Kedro Python Framework for Data Science: Overview an...Boston Data Engineering
What is Kedro?
Kedro is an open-source Python framework for creating reproducible, maintainable and modular data science code. It borrows concepts from software engineering best practices and applies them to machine-learning code; applied concepts include modularity, separation of concerns and versioning.
Kedro 2-minute Intro Video: https://youtu.be/KEdmJ2ADy_M
Kedro Docs: https://kedro.readthedocs.io
Kedro GitHub repo: https://github.com/quantumblacklabs/kedro
Meetup: https://www.meetup.com/f7324858-b804-4ed8-ba45-580c262189f1/events/280986950/C language in our world 2019
Talk at FI MUNI - Brno about C in context of software engineering world of 2019. Added topic related to builds of C/C++ in Docker.
Tsunami of Technologies. Are we prepared?
Tsunami of Technologies. Are we prepared?
Slide from workshop with open source community in Malaysia.
"Bengkel Bersama Komuniti Sumber Terbuka Bilangan 1 Tahun 2020" in De Baron Resort, Langkawi, Kedah, Malaysia
Call for Paper - International Conference on NLP, Data Mining and Machine Lea...
International Conference on NLP, Data Mining and Machine Learning (NLDML 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing, Data Mining and Machine Learning.
Software Developer's Journal - 02/2012
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Webinar - Analyzing Video
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International Conference on NLP, Data Mining and Machine Learning (NLDML 2022)
International Conference on NLP, Data Mining and Machine Learning (NLDML 2022)
will provide an excellent international forum for sharing knowledge and results in theory,
methodology and applications of Natural Language Computing, Data Mining and Machine
Learning.
It will provide an excellent international forum for sharing knowledge and results in theory,
methodology and applications of Natural Language Computing, Data Mining and Machine
Learning. The Conference looks for significant contributions to all major fields of the Natural
Language Computing, Data Mining and Machine Learning in theoretical and practical
aspects.
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Taking The Cloud Native
As a Software as a Service (SaaS) development firm, most of work is done in the cloud, but some of our clients want an offline desktop version of their application. While HTML5 has techniques, which allow for offline use (i.e. App Cache and local Storage), these techniques have limitations and don’t always meet the need for a true offline application. This talk will discuss how to take your existing WebApp and build cross platform native desktop applications for Windows, OSX and Linux via node-webkit. We will also dive deep into node-webkit to show you how this is more than just a conversion tool; it expands application possibilities by packaging a live node.js server in every instance. A live step by step conversion of an existing WebApp will be demonstrated, insuring you understand every step needed to convert your own Web App into a native cross platform desktop application.
Dr. Corey Clark (@CoreyClarkPhD) is the founder of Game Theory Labs (@GameTheoryLabs), a Software as a Service (SaaS) development and consulting firm, as well as a Professor of Game and Simulation Programming in Dallas. His current work is focused on building high performance Web Apps using HTML5, Gaming, Cluster Computing, Artificial Intelligence Modeling, Learning and Optimization. Previously he was Principal Investigator (PI) on several advanced research projects for various organizations in the DoD ranging from advanced 3D modeling and simulation of nanoscale deposition techniques to System on Chip SWARM based low power reconfigurable self-healing mesh networks.
http://www.meetup.com/HTML5-User-Group/events/102310142/
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1) The document discusses vulnerabilities in PostScript, a programming language used in printers and multifunction printers (MFPs).
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3) Vulnerabilities were found that could allow remote code execution on MFPs, extraction of memory contents, and spoofing of printed documents.
4) Solutions proposed include sandboxing print jobs, disabling PostScript processing, and updating firmware to address vulnerabilities.
Manish Chasta - Securing Android Applications
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Call for Paper - International Conference on NLP, Data Mining and Machine Lea...
International Conference on NLP, Data Mining and Machine Learning (NLDML 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing, Data Mining and Machine Learning.
Call for Papers - International Conference on NLP, Data Mining and Machine Le...
International Conference on NLP, Data Mining and Machine Learning (NLDML 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing, Data Mining and Machine Learning.
Call for Paper - International Conference on NLP, Data Mining and Machine Lea...
International Conference on NLP, Data Mining and Machine Learning (NLDML 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing, Data Mining and Machine Learning.
NanoSec Conference 2019: Code Execution Analysis in Mobile Apps - Abdullah Jo...
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Sentiment Analysis using Big Data
-Hadoop Installation Process
-Apache Pig
- Demonetization Sentiment Analysis
-Twitter tweets Analysis
Tool- Hadoop
Keedio Stack: BDaaS deployment for dummies by Alessio Comisso at Big Data Spa...
KEEDIO is a joint initiative between Santander Group and Alfonso X el Sabio University specialized in Big Data and Cloud Computing technologies. KEEDIO has defined their own technology stack based on widely used Big Data tools along with custom plugins and add-ons. This stack uses technologies like Vagrant and Ambari to streamline deployment and monitoring. KEEDIO's tools make defining and deploying Big Data software stacks easier through integration of Ambari with different Big Data tools, allowing customized distributions tailored to users' needs.
Maintainability Sogeti Qx Day 2020
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Common Missteps in Cross-Platform Development.pdf
everyone is having some common mistakes in developing cross-platform applications. Here are a few things that issued while developing applications.
Fabric for Deep Learning
- Fabric for Deep Learning (FfDL) is an open source project that aims to make deep learning accessible and scalable across multiple frameworks like TensorFlow, Caffe, PyTorch, and Keras.
- FfDL provides a consistent way to deploy, train, and visualize deep learning jobs on Kubernetes clusters using microservices. This allows for resilience, scalability, and multi-tenancy.
- FfDL forms the core of IBM's deep learning service in Watson Studio, which provides tools to support the full AI workflow from designing models to deployment and monitoring.
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Boston Data Engineering: Kedro Python Framework for Data Science: Overview an...
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Python Programing Language in GeoScience-Notes.pdf
- 1. 5/9/2022 Seismic Analysis Using Python By: Mahmoud Badawy (Lecturer of Geophysics, Geology Department, Faculty of Science, Alexandria University, Egypt) 1 “Data Analysis and Interpretation in Earth Science” Dr. Mahmoud Badawy
- 2. Dr. Mahmoud Badawy 2 5/9/2022 $?
- 3. Dr. Mahmoud Badawy 3 5/9/2022 $?
- 4. What happened! Open what? Using what? Dr. Mahmoud Badawy 4 Numerous step-by-step code examples in the field of Earth Sciences. Allows proficient use of Python in visualizing, analyzing, and modelling geological data. Specifically minded for teaching Python to geologists. 5/9/2022
- 5. It’s how you make software (Using Software)?????? What do you want to [code, build, debug, deploy, collaborate on, analyze, learn] today? Code faster Work smarter Data Analyst? Data Science? Machine Learning? Artificial Intelligent? Computer Science Students!!!!!!
- 6. Type less, code more IntelliCode is a powerful set of automatic code completion tools that understand your code context: variable names, functions, and the type of code you’re writing. This makes IntelliCode able to complete up to a whole line at once, helping you code more accurately and confidently. Dr. Mahmoud Badawy 6 5/9/2022
- 7. Stop problems before they’re problems Integrated debugging is a core part of every Visual Studio product. You can step through your code and look at the values stored in variables, set watches on variables to see when values change, examine the execution path of your code, and just about anything else you need to check out under the hood. Dr. Mahmoud Badawy 7 5/9/2022
- 8. Dr. Mahmoud Badawy 8 Language Time! 5/9/2022
- 9. 5/9/2022 Dr. Mahmoud Badawy 9
- 10. 5/9/2022 Dr. Mahmoud Badawy 10
- 11. 5/9/2022 Dr. Mahmoud Badawy 11
- 12. 5/9/2022 Dr. Mahmoud Badawy 12
- 13. 5/9/2022 Dr. Mahmoud Badawy 13
- 14. 5/9/2022 Dr. Mahmoud Badawy 14
- 15. 5/9/2022 Dr. Mahmoud Badawy 15
- 16. 5/9/2022 Dr. Mahmoud Badawy 16
- 17. Dr. Mahmoud Badawy 17 5/9/2022
- 18. Dr. Mahmoud Badawy 18 Which prompt you will use Cmd Anaconda Powershell ? Library Packages Modules Anaconda prompt: pip install numpy pip install matplotlib pip install obspy pip install segyio Pip install petrel pip install seismic_canvas pip install seismic-attributes 5/9/2022
- 19. Python Language to handle with seismic specific libraries: Dr. Mahmoud Badawy 19 stream = _read_segy('C:/Users/M.M.Badawy/Desktop/Name of Data Folder/X-Line 1.segy', headonly = True) import numpy as np import matplotlib.pyplot as plt from obspy.io.segy.segy import _read_segy plt.imshow(data.T, cmap="RdBu", min=-100, max=100, aspect='auto') import numpy as np import matplotlib.pyplot as plt from obspy.io.segy.segy import _read_segy one_trace = steam.traces[3] data = np.stack(t.data for t in steam.traces) data.shape stream = _read_segy('C:/Users/M.M.Badawy/Desktop/SEGY/X-Line 5.segy', headonly = True) plt.imshow(data.T, cmap="RdBu", vmin=-100, vmax=100, aspect='auto') 5/9/2022
- 20. Dr. Mahmoud Badawy 20 5/9/2022
- 21. Dr. Mahmoud Badawy 21 5/9/2022
- 22. 5/9/2022 Dr. Mahmoud Badawy 22 >>>print (“Thanks”) Thanks