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andymcdgeo/README.md

Hey there and welcome to my GitHub Repo👋

I'm Andy, a petrophysicist / geoscientist with a passion for data science and machine learning. Over the past few years I have been interested in applying machine learning and data science techniques to petrophysical datasets, as well as exploring various libraries that can be used to visualise petrophysical and geoscience data. I also enjoy helping other geoscientists apply those techniques to their daily projects by sharing knowledge on YouTube, Medium and LinkedIn.

My main research interests are in data visualisation, data quality control and general machine learning applications in the geoscience domain.

Some of My Repositories that You May Find Interesting 🌎:

Python and Petrophysics Notebooks A series of Jupyter notebooks exploring how Python can be used to explore, analyse and visualise geological and petrophysical data.

SPWLA 2021 Machine Learning Workshop A machine learning workshop that was delivered as part of the SPWLA 2021 confernce. Subjects covered include data quality control, dealing with missing data, petrophysical property prediction and facies analysis through unsupervised learning techniques.

Python Notebooks to Accompany My YouTube Videos A series of notebooks that accompany the videos I regularly share on YouTube.

Find me on the web 🌎:

Latest Blog Posts:

Andy's github stats

Pinned Loading

  1. Petrophysics-Python-SeriesPetrophysics-Python-SeriesPublic

    A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

    Lasso 381 174

  2. las_explorerlas_explorerPublic

    LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missing data intervals.

    Python 43 23

  3. Petrophysics-and-PythonPetrophysics-and-PythonPublic

    Python 12 3

  4. Synthetic_Log_GeneratorSynthetic_Log_GeneratorPublic

    Generate synthetic well logs based on a simple Earth model.

    Python 7 4

  5. Andys_YouTube_NotebooksAndys_YouTube_NotebooksPublic

    Jupyter Notebook 104 56

  6. pypetrophysicspypetrophysicsPublic

    Library of petrophysical calculations

    Python 17 1

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andymcdgeo (Andy McDonald) · GitHub
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andymcdgeo/README.md

Hey there and welcome to my GitHub Repo👋

I'm Andy, a petrophysicist / geoscientist with a passion for data science and machine learning. Over the past few years I have been interested in applying machine learning and data science techniques to petrophysical datasets, as well as exploring various libraries that can be used to visualise petrophysical and geoscience data. I also enjoy helping other geoscientists apply those techniques to their daily projects by sharing knowledge on YouTube, Medium and LinkedIn.

My main research interests are in data visualisation, data quality control and general machine learning applications in the geoscience domain.

Some of My Repositories that You May Find Interesting 🌎:

Python and Petrophysics Notebooks A series of Jupyter notebooks exploring how Python can be used to explore, analyse and visualise geological and petrophysical data.

SPWLA 2021 Machine Learning Workshop A machine learning workshop that was delivered as part of the SPWLA 2021 confernce. Subjects covered include data quality control, dealing with missing data, petrophysical property prediction and facies analysis through unsupervised learning techniques.

Python Notebooks to Accompany My YouTube Videos A series of notebooks that accompany the videos I regularly share on YouTube.

Find me on the web 🌎:

Latest Blog Posts:

Andy's github stats

Pinned Loading

  1. Petrophysics-Python-SeriesPetrophysics-Python-SeriesPublic

    A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

    Lasso 381 174

  2. las_explorerlas_explorerPublic

    LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missing data intervals.

    Python 43 23

  3. Petrophysics-and-PythonPetrophysics-and-PythonPublic

    Python 12 3

  4. Synthetic_Log_GeneratorSynthetic_Log_GeneratorPublic

    Generate synthetic well logs based on a simple Earth model.

    Python 7 4

  5. Andys_YouTube_NotebooksAndys_YouTube_NotebooksPublic

    Jupyter Notebook 104 56

  6. pypetrophysicspypetrophysicsPublic

    Library of petrophysical calculations

    Python 17 1

, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' andymcdgeo (Andy McDonald) · GitHub
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andymcdgeo/README.md

Hey there and welcome to my GitHub Repo👋

I'm Andy, a petrophysicist / geoscientist with a passion for data science and machine learning. Over the past few years I have been interested in applying machine learning and data science techniques to petrophysical datasets, as well as exploring various libraries that can be used to visualise petrophysical and geoscience data. I also enjoy helping other geoscientists apply those techniques to their daily projects by sharing knowledge on YouTube, Medium and LinkedIn.

My main research interests are in data visualisation, data quality control and general machine learning applications in the geoscience domain.

Some of My Repositories that You May Find Interesting 🌎:

Python and Petrophysics Notebooks A series of Jupyter notebooks exploring how Python can be used to explore, analyse and visualise geological and petrophysical data.

SPWLA 2021 Machine Learning Workshop A machine learning workshop that was delivered as part of the SPWLA 2021 confernce. Subjects covered include data quality control, dealing with missing data, petrophysical property prediction and facies analysis through unsupervised learning techniques.

Python Notebooks to Accompany My YouTube Videos A series of notebooks that accompany the videos I regularly share on YouTube.

Find me on the web 🌎:

Latest Blog Posts:

Andy's github stats

Pinned Loading

  1. Petrophysics-Python-SeriesPetrophysics-Python-SeriesPublic

    A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

    Lasso 381 174

  2. las_explorerlas_explorerPublic

    LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missing data intervals.

    Python 43 23

  3. Petrophysics-and-PythonPetrophysics-and-PythonPublic

    Python 12 3

  4. Synthetic_Log_GeneratorSynthetic_Log_GeneratorPublic

    Generate synthetic well logs based on a simple Earth model.

    Python 7 4

  5. Andys_YouTube_NotebooksAndys_YouTube_NotebooksPublic

    Jupyter Notebook 104 56

  6. pypetrophysicspypetrophysicsPublic

    Library of petrophysical calculations

    Python 17 1

, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' andymcdgeo (Andy McDonald) · GitHub
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andymcdgeo/README.md

Hey there and welcome to my GitHub Repo👋

I'm Andy, a petrophysicist / geoscientist with a passion for data science and machine learning. Over the past few years I have been interested in applying machine learning and data science techniques to petrophysical datasets, as well as exploring various libraries that can be used to visualise petrophysical and geoscience data. I also enjoy helping other geoscientists apply those techniques to their daily projects by sharing knowledge on YouTube, Medium and LinkedIn.

My main research interests are in data visualisation, data quality control and general machine learning applications in the geoscience domain.

Some of My Repositories that You May Find Interesting 🌎:

Python and Petrophysics Notebooks A series of Jupyter notebooks exploring how Python can be used to explore, analyse and visualise geological and petrophysical data.

SPWLA 2021 Machine Learning Workshop A machine learning workshop that was delivered as part of the SPWLA 2021 confernce. Subjects covered include data quality control, dealing with missing data, petrophysical property prediction and facies analysis through unsupervised learning techniques.

Python Notebooks to Accompany My YouTube Videos A series of notebooks that accompany the videos I regularly share on YouTube.

Find me on the web 🌎:

Latest Blog Posts:

Andy's github stats

Pinned Loading

  1. Petrophysics-Python-SeriesPetrophysics-Python-SeriesPublic

    A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

    Lasso 381 174

  2. las_explorerlas_explorerPublic

    LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missing data intervals.

    Python 43 23

  3. Petrophysics-and-PythonPetrophysics-and-PythonPublic

    Python 12 3

  4. Synthetic_Log_GeneratorSynthetic_Log_GeneratorPublic

    Generate synthetic well logs based on a simple Earth model.

    Python 7 4

  5. Andys_YouTube_NotebooksAndys_YouTube_NotebooksPublic

    Jupyter Notebook 104 56

  6. pypetrophysicspypetrophysicsPublic

    Library of petrophysical calculations

    Python 17 1

, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' andymcdgeo (Andy McDonald) · GitHub
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andymcdgeo/README.md

Hey there and welcome to my GitHub Repo👋

I'm Andy, a petrophysicist / geoscientist with a passion for data science and machine learning. Over the past few years I have been interested in applying machine learning and data science techniques to petrophysical datasets, as well as exploring various libraries that can be used to visualise petrophysical and geoscience data. I also enjoy helping other geoscientists apply those techniques to their daily projects by sharing knowledge on YouTube, Medium and LinkedIn.

My main research interests are in data visualisation, data quality control and general machine learning applications in the geoscience domain.

Some of My Repositories that You May Find Interesting 🌎:

Python and Petrophysics Notebooks A series of Jupyter notebooks exploring how Python can be used to explore, analyse and visualise geological and petrophysical data.

SPWLA 2021 Machine Learning Workshop A machine learning workshop that was delivered as part of the SPWLA 2021 confernce. Subjects covered include data quality control, dealing with missing data, petrophysical property prediction and facies analysis through unsupervised learning techniques.

Python Notebooks to Accompany My YouTube Videos A series of notebooks that accompany the videos I regularly share on YouTube.

Find me on the web 🌎:

Latest Blog Posts:

Andy's github stats

Pinned Loading

  1. Petrophysics-Python-SeriesPetrophysics-Python-SeriesPublic

    A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

    Lasso 381 174

  2. las_explorerlas_explorerPublic

    LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missing data intervals.

    Python 43 23

  3. Petrophysics-and-PythonPetrophysics-and-PythonPublic

    Python 12 3

  4. Synthetic_Log_GeneratorSynthetic_Log_GeneratorPublic

    Generate synthetic well logs based on a simple Earth model.

    Python 7 4

  5. Andys_YouTube_NotebooksAndys_YouTube_NotebooksPublic

    Jupyter Notebook 104 56

  6. pypetrophysicspypetrophysicsPublic

    Library of petrophysical calculations

    Python 17 1

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' andymcdgeo (Andy McDonald) · GitHub
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andymcdgeo/README.md

Hey there and welcome to my GitHub Repo👋

I'm Andy, a petrophysicist / geoscientist with a passion for data science and machine learning. Over the past few years I have been interested in applying machine learning and data science techniques to petrophysical datasets, as well as exploring various libraries that can be used to visualise petrophysical and geoscience data. I also enjoy helping other geoscientists apply those techniques to their daily projects by sharing knowledge on YouTube, Medium and LinkedIn.

My main research interests are in data visualisation, data quality control and general machine learning applications in the geoscience domain.

Some of My Repositories that You May Find Interesting 🌎:

Python and Petrophysics Notebooks A series of Jupyter notebooks exploring how Python can be used to explore, analyse and visualise geological and petrophysical data.

SPWLA 2021 Machine Learning Workshop A machine learning workshop that was delivered as part of the SPWLA 2021 confernce. Subjects covered include data quality control, dealing with missing data, petrophysical property prediction and facies analysis through unsupervised learning techniques.

Python Notebooks to Accompany My YouTube Videos A series of notebooks that accompany the videos I regularly share on YouTube.

Find me on the web 🌎:

Latest Blog Posts:

Andy's github stats

Pinned Loading

  1. Petrophysics-Python-SeriesPetrophysics-Python-SeriesPublic

    A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

    Lasso 381 174

  2. las_explorerlas_explorerPublic

    LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missing data intervals.

    Python 43 23

  3. Petrophysics-and-PythonPetrophysics-and-PythonPublic

    Python 12 3

  4. Synthetic_Log_GeneratorSynthetic_Log_GeneratorPublic

    Generate synthetic well logs based on a simple Earth model.

    Python 7 4

  5. Andys_YouTube_NotebooksAndys_YouTube_NotebooksPublic

    Jupyter Notebook 104 56

  6. pypetrophysicspypetrophysicsPublic

    Library of petrophysical calculations

    Python 17 1

, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' andymcdgeo (Andy McDonald) · GitHub
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andymcdgeo/README.md

Hey there and welcome to my GitHub Repo👋

I'm Andy, a petrophysicist / geoscientist with a passion for data science and machine learning. Over the past few years I have been interested in applying machine learning and data science techniques to petrophysical datasets, as well as exploring various libraries that can be used to visualise petrophysical and geoscience data. I also enjoy helping other geoscientists apply those techniques to their daily projects by sharing knowledge on YouTube, Medium and LinkedIn.

My main research interests are in data visualisation, data quality control and general machine learning applications in the geoscience domain.

Some of My Repositories that You May Find Interesting 🌎:

Python and Petrophysics Notebooks A series of Jupyter notebooks exploring how Python can be used to explore, analyse and visualise geological and petrophysical data.

SPWLA 2021 Machine Learning Workshop A machine learning workshop that was delivered as part of the SPWLA 2021 confernce. Subjects covered include data quality control, dealing with missing data, petrophysical property prediction and facies analysis through unsupervised learning techniques.

Python Notebooks to Accompany My YouTube Videos A series of notebooks that accompany the videos I regularly share on YouTube.

Find me on the web 🌎:

Latest Blog Posts:

Andy's github stats

Pinned Loading

  1. Petrophysics-Python-SeriesPetrophysics-Python-SeriesPublic

    A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

    Lasso 381 174

  2. las_explorerlas_explorerPublic

    LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missing data intervals.

    Python 43 23

  3. Petrophysics-and-PythonPetrophysics-and-PythonPublic

    Python 12 3

  4. Synthetic_Log_GeneratorSynthetic_Log_GeneratorPublic

    Generate synthetic well logs based on a simple Earth model.

    Python 7 4

  5. Andys_YouTube_NotebooksAndys_YouTube_NotebooksPublic

    Jupyter Notebook 104 56

  6. pypetrophysicspypetrophysicsPublic

    Library of petrophysical calculations

    Python 17 1

, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { 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); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); andymcdgeo (Andy McDonald) · GitHub
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  • Aberdeen, Scotland

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andymcdgeo/README.md

Hey there and welcome to my GitHub Repo👋

I'm Andy, a petrophysicist / geoscientist with a passion for data science and machine learning. Over the past few years I have been interested in applying machine learning and data science techniques to petrophysical datasets, as well as exploring various libraries that can be used to visualise petrophysical and geoscience data. I also enjoy helping other geoscientists apply those techniques to their daily projects by sharing knowledge on YouTube, Medium and LinkedIn.

My main research interests are in data visualisation, data quality control and general machine learning applications in the geoscience domain.

Some of My Repositories that You May Find Interesting 🌎:

Python and Petrophysics Notebooks A series of Jupyter notebooks exploring how Python can be used to explore, analyse and visualise geological and petrophysical data.

SPWLA 2021 Machine Learning Workshop A machine learning workshop that was delivered as part of the SPWLA 2021 confernce. Subjects covered include data quality control, dealing with missing data, petrophysical property prediction and facies analysis through unsupervised learning techniques.

Python Notebooks to Accompany My YouTube Videos A series of notebooks that accompany the videos I regularly share on YouTube.

Find me on the web 🌎:

Latest Blog Posts:

Andy's github stats

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  1. Petrophysics-Python-SeriesPetrophysics-Python-SeriesPublic

    A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

    Lasso 381 174

  2. las_explorerlas_explorerPublic

    LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missing data intervals.

    Python 43 23

  3. Petrophysics-and-PythonPetrophysics-and-PythonPublic

    Python 12 3

  4. Synthetic_Log_GeneratorSynthetic_Log_GeneratorPublic

    Generate synthetic well logs based on a simple Earth model.

    Python 7 4

  5. Andys_YouTube_NotebooksAndys_YouTube_NotebooksPublic

    Jupyter Notebook 104 56

  6. pypetrophysicspypetrophysicsPublic

    Library of petrophysical calculations

    Python 17 1