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yohanesnuwara/README.md

Hei!

I live in Trondheim and work as senior data scientist at Aker BP ASA. Previously, I worked as software engineer at Whitson and data scientist at Prores AS, Whitson AS, and Asia Pulp and Paper. I've spent 5+ years working in this role for different industries in oil and gas, pulp and paper, and forestry. My core expertise is computer vision for subsurface core/cutting images, seabed mapping, and aerial drone/LiDAR photogrametry, with interests in LLM, AI engineering, and advanced machine learning models.

I use my GitHub mostly for educational purposes and OSS (open-source software) development. I like to help many university students and professionals to step their feet into Python programming.

Current Works and Interests

I am particularly interested in the use of agentic AI for science and engineering (one of them in geos). Here are my most recent works:

  • Boglodite: Agent for seismic interpretation
  • SciSandboxAI: Agent for scientific research and experiments
  • DEUP LLM (Research): Epistemic uncertainty quantification for LLMs using Direct Epistemic Uncertainty Prediction (DEUP) methodology
  • Knowledge graph from text and image embeddings (Research): Knowledge graph from embeddings for document retrieval

Open-Source Softwares for Geosciences

These are several Python libraries that I've developed over 5 years and I use to teach my students:

🌎 GeoPySics

Library for geophysical data processing, such as gravity data anomaly separation using Fast Fourier Transform / Second Vertical Derivative (FFT/SVD), seismic data attribute calculation, interactive viewer, Amplitude-versus-offset (AVO) modelling, seismic inversion, and rock physics.

🛢️ PyReservoir

Library for reservoir engineering analysis, such as Original-oil-in-place (OOIP) contouring and calculation, Pressure-Volume-Temperature (PVT) correlation, material balance analysis for gas (dry gas and water-drive) and oil reservoirs (saturated and undersaturated), well test simulation and interpretation, and Decline Curve Analysis (DCA).

🔨 FormationPy

Library for visualization and analysis of well log data, including triple combo visualization, neutron density plot, and log interpolation.

👨‍💻 Python Bootcamp for GeoEngineers

This repository stores codes, data, and materials of trainings that I give to students. This is a perfect place to learn Python.

PyMRST

DASLab

MLGeo

Pinned Loading

  1. python-bootcamp-for-geoengineerspython-bootcamp-for-geoengineersPublic

    Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US

    Jupyter Notebook 90 66

  2. DASLabDASLabPublic

    Distributed acoustic sensing lab developed @ RITE CO2 Storage Research Group

    Jupyter Notebook 77 24

  3. pyreservoirpyreservoirPublic

    Python utilities for reservoir engineering calculations

    Jupyter Notebook 175 102

  4. MLGeoMLGeoPublic

    Exploration of machine learning in geoscience use cases

    Lasso 88 60

  5. GeoPySicsGeoPySicsPublic

    Python implementations in geophysical methods: seismic and gravity

    Jupyter Notebook 104 44

  6. pyMRSTpyMRSTPublic

    A wrapper to run MATLAB Reservoir Simulation Toolbox (MRST) in Python

    Jupyter Notebook 50 18

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yohanesnuwara (yohanesnuwara) · GitHub
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@terra-analitika

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yohanesnuwara/README.md
Hei!
I live in Trondheim and work as senior data scientist at Aker BP ASA. Previously, I worked as software engineer at Whitson and data scientist at Prores AS, Whitson AS, and Asia Pulp and Paper. I've spent 5+ years working in this role for different industries in oil and gas, pulp and paper, and forestry. My core expertise is computer vision for subsurface core/cutting images, seabed mapping, and aerial drone/LiDAR photogrametry, with interests in LLM, AI engineering, and advanced machine learning models.
I use my GitHub mostly for educational purposes and OSS (open-source software) development. I like to help many university students and professionals to step their feet into Python programming.
Current Works and Interests
I am particularly interested in the use of agentic AI for science and engineering (one of them in geos). Here are my most recent works:
  • Boglodite: Agent for seismic interpretation
  • SciSandboxAI: Agent for scientific research and experiments
  • DEUP LLM (Research): Epistemic uncertainty quantification for LLMs using Direct Epistemic Uncertainty Prediction (DEUP) methodology
  • Knowledge graph from text and image embeddings (Research): Knowledge graph from embeddings for document retrieval
Open-Source Softwares for Geosciences
These are several Python libraries that I've developed over 5 years and I use to teach my students:
🌎 GeoPySics
Library for geophysical data processing, such as gravity data anomaly separation using Fast Fourier Transform / Second Vertical Derivative (FFT/SVD), seismic data attribute calculation, interactive viewer, Amplitude-versus-offset (AVO) modelling, seismic inversion, and rock physics.
🛢️ PyReservoir
Library for reservoir engineering analysis, such as Original-oil-in-place (OOIP) contouring and calculation, Pressure-Volume-Temperature (PVT) correlation, material balance analysis for gas (dry gas and water-drive) and oil reservoirs (saturated and undersaturated), well test simulation and interpretation, and Decline Curve Analysis (DCA).
🔨 FormationPy
Library for visualization and analysis of well log data, including triple combo visualization, neutron density plot, and log interpolation.
👨‍💻 Python Bootcamp for GeoEngineers
This repository stores codes, data, and materials of trainings that I give to students. This is a perfect place to learn Python.
PyMRST
DASLab
MLGeo

Pinned
Loading
  1. python-bootcamp-for-geoengineerspython-bootcamp-for-geoengineersPublic
    
Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US

    Jupyter Notebook
90

66

  2. DASLabDASLabPublic
    
Distributed acoustic sensing lab developed @ RITE CO2 Storage Research Group

    Jupyter Notebook
77

24

  3. pyreservoirpyreservoirPublic
    
Python utilities for reservoir engineering calculations

    Jupyter Notebook
175

102

  4. MLGeoMLGeoPublic
    
Exploration of machine learning in geoscience use cases

    Lasso
88

60

  5. GeoPySicsGeoPySicsPublic
    
Python implementations in geophysical methods: seismic and gravity

    Jupyter Notebook
104

44

  6. pyMRSTpyMRSTPublic
    
A wrapper to run MATLAB Reservoir Simulation Toolbox (MRST) in Python

    Jupyter Notebook
50

18


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yohanesnuwara (yohanesnuwara) · GitHub
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Coding
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Achievements
Achievement: Pull SharkAchievement: Starstruckx2Achievement: Arctic Code Vault Contributor
Achievements
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Organizations
@terra-analitika

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yohanesnuwara/README.md
Hei!
I live in Trondheim and work as senior data scientist at Aker BP ASA. Previously, I worked as software engineer at Whitson and data scientist at Prores AS, Whitson AS, and Asia Pulp and Paper. I've spent 5+ years working in this role for different industries in oil and gas, pulp and paper, and forestry. My core expertise is computer vision for subsurface core/cutting images, seabed mapping, and aerial drone/LiDAR photogrametry, with interests in LLM, AI engineering, and advanced machine learning models.
I use my GitHub mostly for educational purposes and OSS (open-source software) development. I like to help many university students and professionals to step their feet into Python programming.
Current Works and Interests
I am particularly interested in the use of agentic AI for science and engineering (one of them in geos). Here are my most recent works:
  • Boglodite: Agent for seismic interpretation
  • SciSandboxAI: Agent for scientific research and experiments
  • DEUP LLM (Research): Epistemic uncertainty quantification for LLMs using Direct Epistemic Uncertainty Prediction (DEUP) methodology
  • Knowledge graph from text and image embeddings (Research): Knowledge graph from embeddings for document retrieval
Open-Source Softwares for Geosciences
These are several Python libraries that I've developed over 5 years and I use to teach my students:
🌎 GeoPySics
Library for geophysical data processing, such as gravity data anomaly separation using Fast Fourier Transform / Second Vertical Derivative (FFT/SVD), seismic data attribute calculation, interactive viewer, Amplitude-versus-offset (AVO) modelling, seismic inversion, and rock physics.
🛢️ PyReservoir
Library for reservoir engineering analysis, such as Original-oil-in-place (OOIP) contouring and calculation, Pressure-Volume-Temperature (PVT) correlation, material balance analysis for gas (dry gas and water-drive) and oil reservoirs (saturated and undersaturated), well test simulation and interpretation, and Decline Curve Analysis (DCA).
🔨 FormationPy
Library for visualization and analysis of well log data, including triple combo visualization, neutron density plot, and log interpolation.
👨‍💻 Python Bootcamp for GeoEngineers
This repository stores codes, data, and materials of trainings that I give to students. This is a perfect place to learn Python.
PyMRST
DASLab
MLGeo

Pinned
Loading
  1. python-bootcamp-for-geoengineerspython-bootcamp-for-geoengineersPublic
    
Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US

    Jupyter Notebook
90

66

  2. DASLabDASLabPublic
    
Distributed acoustic sensing lab developed @ RITE CO2 Storage Research Group

    Jupyter Notebook
77

24

  3. pyreservoirpyreservoirPublic
    
Python utilities for reservoir engineering calculations

    Jupyter Notebook
175

102

  4. MLGeoMLGeoPublic
    
Exploration of machine learning in geoscience use cases

    Lasso
88

60

  5. GeoPySicsGeoPySicsPublic
    
Python implementations in geophysical methods: seismic and gravity

    Jupyter Notebook
104

44

  6. pyMRSTpyMRSTPublic
    
A wrapper to run MATLAB Reservoir Simulation Toolbox (MRST) in Python

    Jupyter Notebook
50

18


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yohanesnuwara (yohanesnuwara) · GitHub
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:shipit:
Coding
:shipit:
Coding
1.3k
followers
 · 121
following

Achievements
Achievement: Pull SharkAchievement: Starstruckx2Achievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull SharkAchievement: Starstruckx2Achievement: Arctic Code Vault Contributor
Organizations
@terra-analitika

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yohanesnuwara/README.md
Hei!
I live in Trondheim and work as senior data scientist at Aker BP ASA. Previously, I worked as software engineer at Whitson and data scientist at Prores AS, Whitson AS, and Asia Pulp and Paper. I've spent 5+ years working in this role for different industries in oil and gas, pulp and paper, and forestry. My core expertise is computer vision for subsurface core/cutting images, seabed mapping, and aerial drone/LiDAR photogrametry, with interests in LLM, AI engineering, and advanced machine learning models.
I use my GitHub mostly for educational purposes and OSS (open-source software) development. I like to help many university students and professionals to step their feet into Python programming.
Current Works and Interests
I am particularly interested in the use of agentic AI for science and engineering (one of them in geos). Here are my most recent works:
  • Boglodite: Agent for seismic interpretation
  • SciSandboxAI: Agent for scientific research and experiments
  • DEUP LLM (Research): Epistemic uncertainty quantification for LLMs using Direct Epistemic Uncertainty Prediction (DEUP) methodology
  • Knowledge graph from text and image embeddings (Research): Knowledge graph from embeddings for document retrieval
Open-Source Softwares for Geosciences
These are several Python libraries that I've developed over 5 years and I use to teach my students:
🌎 GeoPySics
Library for geophysical data processing, such as gravity data anomaly separation using Fast Fourier Transform / Second Vertical Derivative (FFT/SVD), seismic data attribute calculation, interactive viewer, Amplitude-versus-offset (AVO) modelling, seismic inversion, and rock physics.
🛢️ PyReservoir
Library for reservoir engineering analysis, such as Original-oil-in-place (OOIP) contouring and calculation, Pressure-Volume-Temperature (PVT) correlation, material balance analysis for gas (dry gas and water-drive) and oil reservoirs (saturated and undersaturated), well test simulation and interpretation, and Decline Curve Analysis (DCA).
🔨 FormationPy
Library for visualization and analysis of well log data, including triple combo visualization, neutron density plot, and log interpolation.
👨‍💻 Python Bootcamp for GeoEngineers
This repository stores codes, data, and materials of trainings that I give to students. This is a perfect place to learn Python.
PyMRST
DASLab
MLGeo

Pinned
Loading
  1. python-bootcamp-for-geoengineerspython-bootcamp-for-geoengineersPublic
    
Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US

    Jupyter Notebook
90

66

  2. DASLabDASLabPublic
    
Distributed acoustic sensing lab developed @ RITE CO2 Storage Research Group

    Jupyter Notebook
77

24

  3. pyreservoirpyreservoirPublic
    
Python utilities for reservoir engineering calculations

    Jupyter Notebook
175

102

  4. MLGeoMLGeoPublic
    
Exploration of machine learning in geoscience use cases

    Lasso
88

60

  5. GeoPySicsGeoPySicsPublic
    
Python implementations in geophysical methods: seismic and gravity

    Jupyter Notebook
104

44

  6. pyMRSTpyMRSTPublic
    
A wrapper to run MATLAB Reservoir Simulation Toolbox (MRST) in Python

    Jupyter Notebook
50

18


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yohanesnuwara (yohanesnuwara) · GitHub
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View yohanesnuwara's full-sized avatar
:shipit:
Coding
:shipit:
Coding
1.3k
followers
 · 121
following

Achievements
Achievement: Pull SharkAchievement: Starstruckx2Achievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull SharkAchievement: Starstruckx2Achievement: Arctic Code Vault Contributor
Organizations
@terra-analitika

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yohanesnuwara/README.md
Hei!
I live in Trondheim and work as senior data scientist at Aker BP ASA. Previously, I worked as software engineer at Whitson and data scientist at Prores AS, Whitson AS, and Asia Pulp and Paper. I've spent 5+ years working in this role for different industries in oil and gas, pulp and paper, and forestry. My core expertise is computer vision for subsurface core/cutting images, seabed mapping, and aerial drone/LiDAR photogrametry, with interests in LLM, AI engineering, and advanced machine learning models.
I use my GitHub mostly for educational purposes and OSS (open-source software) development. I like to help many university students and professionals to step their feet into Python programming.
Current Works and Interests
I am particularly interested in the use of agentic AI for science and engineering (one of them in geos). Here are my most recent works:
  • Boglodite: Agent for seismic interpretation
  • SciSandboxAI: Agent for scientific research and experiments
  • DEUP LLM (Research): Epistemic uncertainty quantification for LLMs using Direct Epistemic Uncertainty Prediction (DEUP) methodology
  • Knowledge graph from text and image embeddings (Research): Knowledge graph from embeddings for document retrieval
Open-Source Softwares for Geosciences
These are several Python libraries that I've developed over 5 years and I use to teach my students:
🌎 GeoPySics
Library for geophysical data processing, such as gravity data anomaly separation using Fast Fourier Transform / Second Vertical Derivative (FFT/SVD), seismic data attribute calculation, interactive viewer, Amplitude-versus-offset (AVO) modelling, seismic inversion, and rock physics.
🛢️ PyReservoir
Library for reservoir engineering analysis, such as Original-oil-in-place (OOIP) contouring and calculation, Pressure-Volume-Temperature (PVT) correlation, material balance analysis for gas (dry gas and water-drive) and oil reservoirs (saturated and undersaturated), well test simulation and interpretation, and Decline Curve Analysis (DCA).
🔨 FormationPy
Library for visualization and analysis of well log data, including triple combo visualization, neutron density plot, and log interpolation.
👨‍💻 Python Bootcamp for GeoEngineers
This repository stores codes, data, and materials of trainings that I give to students. This is a perfect place to learn Python.
PyMRST
DASLab
MLGeo

Pinned
Loading
  1. python-bootcamp-for-geoengineerspython-bootcamp-for-geoengineersPublic
    
Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US

    Jupyter Notebook
90

66

  2. DASLabDASLabPublic
    
Distributed acoustic sensing lab developed @ RITE CO2 Storage Research Group

    Jupyter Notebook
77

24

  3. pyreservoirpyreservoirPublic
    
Python utilities for reservoir engineering calculations

    Jupyter Notebook
175

102

  4. MLGeoMLGeoPublic
    
Exploration of machine learning in geoscience use cases

    Lasso
88

60

  5. GeoPySicsGeoPySicsPublic
    
Python implementations in geophysical methods: seismic and gravity

    Jupyter Notebook
104

44

  6. pyMRSTpyMRSTPublic
    
A wrapper to run MATLAB Reservoir Simulation Toolbox (MRST) in Python

    Jupyter Notebook
50

18


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yohanesnuwara (yohanesnuwara) · GitHub
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Coding
:shipit:
Coding
1.3k
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 · 121
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Achievements
Achievement: Pull SharkAchievement: Starstruckx2Achievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull SharkAchievement: Starstruckx2Achievement: Arctic Code Vault Contributor
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@terra-analitika

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yohanesnuwara/README.md
Hei!
I live in Trondheim and work as senior data scientist at Aker BP ASA. Previously, I worked as software engineer at Whitson and data scientist at Prores AS, Whitson AS, and Asia Pulp and Paper. I've spent 5+ years working in this role for different industries in oil and gas, pulp and paper, and forestry. My core expertise is computer vision for subsurface core/cutting images, seabed mapping, and aerial drone/LiDAR photogrametry, with interests in LLM, AI engineering, and advanced machine learning models.
I use my GitHub mostly for educational purposes and OSS (open-source software) development. I like to help many university students and professionals to step their feet into Python programming.
Current Works and Interests
I am particularly interested in the use of agentic AI for science and engineering (one of them in geos). Here are my most recent works:
  • Boglodite: Agent for seismic interpretation
  • SciSandboxAI: Agent for scientific research and experiments
  • DEUP LLM (Research): Epistemic uncertainty quantification for LLMs using Direct Epistemic Uncertainty Prediction (DEUP) methodology
  • Knowledge graph from text and image embeddings (Research): Knowledge graph from embeddings for document retrieval
Open-Source Softwares for Geosciences
These are several Python libraries that I've developed over 5 years and I use to teach my students:
🌎 GeoPySics
Library for geophysical data processing, such as gravity data anomaly separation using Fast Fourier Transform / Second Vertical Derivative (FFT/SVD), seismic data attribute calculation, interactive viewer, Amplitude-versus-offset (AVO) modelling, seismic inversion, and rock physics.
🛢️ PyReservoir
Library for reservoir engineering analysis, such as Original-oil-in-place (OOIP) contouring and calculation, Pressure-Volume-Temperature (PVT) correlation, material balance analysis for gas (dry gas and water-drive) and oil reservoirs (saturated and undersaturated), well test simulation and interpretation, and Decline Curve Analysis (DCA).
🔨 FormationPy
Library for visualization and analysis of well log data, including triple combo visualization, neutron density plot, and log interpolation.
👨‍💻 Python Bootcamp for GeoEngineers
This repository stores codes, data, and materials of trainings that I give to students. This is a perfect place to learn Python.
PyMRST
DASLab
MLGeo

Pinned
Loading
  1. python-bootcamp-for-geoengineerspython-bootcamp-for-geoengineersPublic
    
Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US

    Jupyter Notebook
90

66

  2. DASLabDASLabPublic
    
Distributed acoustic sensing lab developed @ RITE CO2 Storage Research Group

    Jupyter Notebook
77

24

  3. pyreservoirpyreservoirPublic
    
Python utilities for reservoir engineering calculations

    Jupyter Notebook
175

102

  4. MLGeoMLGeoPublic
    
Exploration of machine learning in geoscience use cases

    Lasso
88

60

  5. GeoPySicsGeoPySicsPublic
    
Python implementations in geophysical methods: seismic and gravity

    Jupyter Notebook
104

44

  6. pyMRSTpyMRSTPublic
    
A wrapper to run MATLAB Reservoir Simulation Toolbox (MRST) in Python

    Jupyter Notebook
50

18


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yohanesnuwara (yohanesnuwara) · GitHub
Skip to content
View yohanesnuwara's full-sized avatar
:shipit:
Coding
:shipit:
Coding
1.3k
followers
 · 121
following

Achievements
Achievement: Pull SharkAchievement: Starstruckx2Achievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull SharkAchievement: Starstruckx2Achievement: Arctic Code Vault Contributor
Organizations
@terra-analitika

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yohanesnuwara/README.md
Hei!
I live in Trondheim and work as senior data scientist at Aker BP ASA. Previously, I worked as software engineer at Whitson and data scientist at Prores AS, Whitson AS, and Asia Pulp and Paper. I've spent 5+ years working in this role for different industries in oil and gas, pulp and paper, and forestry. My core expertise is computer vision for subsurface core/cutting images, seabed mapping, and aerial drone/LiDAR photogrametry, with interests in LLM, AI engineering, and advanced machine learning models.
I use my GitHub mostly for educational purposes and OSS (open-source software) development. I like to help many university students and professionals to step their feet into Python programming.
Current Works and Interests
I am particularly interested in the use of agentic AI for science and engineering (one of them in geos). Here are my most recent works:
  • Boglodite: Agent for seismic interpretation
  • SciSandboxAI: Agent for scientific research and experiments
  • DEUP LLM (Research): Epistemic uncertainty quantification for LLMs using Direct Epistemic Uncertainty Prediction (DEUP) methodology
  • Knowledge graph from text and image embeddings (Research): Knowledge graph from embeddings for document retrieval
Open-Source Softwares for Geosciences
These are several Python libraries that I've developed over 5 years and I use to teach my students:
🌎 GeoPySics
Library for geophysical data processing, such as gravity data anomaly separation using Fast Fourier Transform / Second Vertical Derivative (FFT/SVD), seismic data attribute calculation, interactive viewer, Amplitude-versus-offset (AVO) modelling, seismic inversion, and rock physics.
🛢️ PyReservoir
Library for reservoir engineering analysis, such as Original-oil-in-place (OOIP) contouring and calculation, Pressure-Volume-Temperature (PVT) correlation, material balance analysis for gas (dry gas and water-drive) and oil reservoirs (saturated and undersaturated), well test simulation and interpretation, and Decline Curve Analysis (DCA).
🔨 FormationPy
Library for visualization and analysis of well log data, including triple combo visualization, neutron density plot, and log interpolation.
👨‍💻 Python Bootcamp for GeoEngineers
This repository stores codes, data, and materials of trainings that I give to students. This is a perfect place to learn Python.
PyMRST
DASLab
MLGeo

Pinned
Loading
  1. python-bootcamp-for-geoengineerspython-bootcamp-for-geoengineersPublic
    
Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US

    Jupyter Notebook
90

66

  2. DASLabDASLabPublic
    
Distributed acoustic sensing lab developed @ RITE CO2 Storage Research Group

    Jupyter Notebook
77

24

  3. pyreservoirpyreservoirPublic
    
Python utilities for reservoir engineering calculations

    Jupyter Notebook
175

102

  4. MLGeoMLGeoPublic
    
Exploration of machine learning in geoscience use cases

    Lasso
88

60

  5. GeoPySicsGeoPySicsPublic
    
Python implementations in geophysical methods: seismic and gravity

    Jupyter Notebook
104

44

  6. pyMRSTpyMRSTPublic
    
A wrapper to run MATLAB Reservoir Simulation Toolbox (MRST) in Python

    Jupyter Notebook
50

18


, 'i');
if (__m === '*' || __re.test(location.href)) {
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var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
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style.textContent = '
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if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
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console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
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yohanesnuwara (yohanesnuwara) · GitHub
Skip to content
View yohanesnuwara's full-sized avatar
:shipit:
Coding
:shipit:
Coding
1.3k
followers
 · 121
following

Achievements
Achievement: Pull SharkAchievement: Starstruckx2Achievement: Arctic Code Vault Contributor
Achievements
Achievement: Pull SharkAchievement: Starstruckx2Achievement: Arctic Code Vault Contributor
Organizations
@terra-analitika

Block or report yohanesnuwara

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yohanesnuwara/README.md
Hei!
I live in Trondheim and work as senior data scientist at Aker BP ASA. Previously, I worked as software engineer at Whitson and data scientist at Prores AS, Whitson AS, and Asia Pulp and Paper. I've spent 5+ years working in this role for different industries in oil and gas, pulp and paper, and forestry. My core expertise is computer vision for subsurface core/cutting images, seabed mapping, and aerial drone/LiDAR photogrametry, with interests in LLM, AI engineering, and advanced machine learning models.
I use my GitHub mostly for educational purposes and OSS (open-source software) development. I like to help many university students and professionals to step their feet into Python programming.
Current Works and Interests
I am particularly interested in the use of agentic AI for science and engineering (one of them in geos). Here are my most recent works:
  • Boglodite: Agent for seismic interpretation
  • SciSandboxAI: Agent for scientific research and experiments
  • DEUP LLM (Research): Epistemic uncertainty quantification for LLMs using Direct Epistemic Uncertainty Prediction (DEUP) methodology
  • Knowledge graph from text and image embeddings (Research): Knowledge graph from embeddings for document retrieval
Open-Source Softwares for Geosciences
These are several Python libraries that I've developed over 5 years and I use to teach my students:
🌎 GeoPySics
Library for geophysical data processing, such as gravity data anomaly separation using Fast Fourier Transform / Second Vertical Derivative (FFT/SVD), seismic data attribute calculation, interactive viewer, Amplitude-versus-offset (AVO) modelling, seismic inversion, and rock physics.
🛢️ PyReservoir
Library for reservoir engineering analysis, such as Original-oil-in-place (OOIP) contouring and calculation, Pressure-Volume-Temperature (PVT) correlation, material balance analysis for gas (dry gas and water-drive) and oil reservoirs (saturated and undersaturated), well test simulation and interpretation, and Decline Curve Analysis (DCA).
🔨 FormationPy
Library for visualization and analysis of well log data, including triple combo visualization, neutron density plot, and log interpolation.
👨‍💻 Python Bootcamp for GeoEngineers
This repository stores codes, data, and materials of trainings that I give to students. This is a perfect place to learn Python.
PyMRST
DASLab
MLGeo

Pinned
Loading
  1. python-bootcamp-for-geoengineerspython-bootcamp-for-geoengineersPublic
    
Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US

    Jupyter Notebook
90

66

  2. DASLabDASLabPublic
    
Distributed acoustic sensing lab developed @ RITE CO2 Storage Research Group

    Jupyter Notebook
77

24

  3. pyreservoirpyreservoirPublic
    
Python utilities for reservoir engineering calculations

    Jupyter Notebook
175

102

  4. MLGeoMLGeoPublic
    
Exploration of machine learning in geoscience use cases

    Lasso
88

60

  5. GeoPySicsGeoPySicsPublic
    
Python implementations in geophysical methods: seismic and gravity

    Jupyter Notebook
104

44

  6. pyMRSTpyMRSTPublic
    
A wrapper to run MATLAB Reservoir Simulation Toolbox (MRST) in Python

    Jupyter Notebook
50

18