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X-WR-CALNAME:PESA - Energy Geoscience
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X-WR-CALDESC:Events for PESA - Energy Geoscience
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DTSTART:20220101T000000
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DTSTART;TZID=Australia/Perth:20230808T110000
DTEND;TZID=Australia/Perth:20230808T120000
DTSTAMP:20260607T232507
CREATED:20230628T030140Z
LAST-MODIFIED:20230706T233602Z
UID:10008521-1691492400-1691496000@pesa.com.au
SUMMARY:2023 PESA WEBINAR SERIES: Digitalisation of a National Legacy Cuttings Archive – A Case Study from Norway and the Opportunity for the Australian Energy Sector
DESCRIPTION:Kindly supported by Rock Flow dynamics  \n  \nThis live webinar will take place at: \n11am              – Perth \n12.30pm       – Darwin\, Adelaide \n1pm                – Brisbane\, Canberra\, Hobart\, Melbourne\, Sydney \n  \nUse the calendar link on this page to add this event in to your own calendar at the correct local time for your location. \nTickets are free for members (please log in to see this) and $10 for non members. \nPlease buy your tickets and immediately follow the link in the ticket e-mail (not the calendar invite or this webpage\, which is just generic and not event specific) to set up your registration with the webinar software well in advance of the time of the talk. Once registered with the webinar software you will receive a reminder e-mail 1 hour beforehand. \nDigitalisation of a National Legacy Cuttings Archive – A Case Study from Norway and the Opportunity for the Australian Energy Sector \nPresented by Edward Mortimer (Rockwash) \nAbstract \n\nThe talk discusses NOROG. NOROG is a fully digital cuttings dataset of all released exploration wells offshore Norway. \nCreated through an industry consortium\, the NOROG project used Rockwash’s proprietary technology to digitise 700\,000+ samples from 1900 exploration wells offshore Norway for the NPD. We will discuss the process and data collection\, then how the outputs are being used in O&G exploration\, CCUS and AI/ML workflows.
URL:https://pesa.com.au/events/2023-pesa-webinar-series-digitalisation-of-a-national-legacy-cuttings-archive/
LOCATION:SA
CATEGORIES:Industry,National,Online,Technical Talk
ATTACH;FMTTYPE=image/avif:https://pesa.com.au/wp-content/uploads/2023/06/PESA-image.avif
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DTSTART;TZID=Australia/Brisbane:20230815T120000
DTEND;TZID=Australia/Brisbane:20230815T150000
DTSTAMP:20260607T232507
CREATED:20230703T103944Z
LAST-MODIFIED:20230807T023716Z
UID:10008532-1692100800-1692111600@pesa.com.au
SUMMARY:PESA QLD: Online Course - Introduction to Python for Geoscience - 2023 - SOLD OUT
DESCRIPTION:Introduction to Python for Geoscience 2023\nPLEASE NOTE THAT THIS EVENT IS NOW SOLD OUT. IF YOU WOULD LIKE TO JOIN THE WAITLIST FOR FUTURE COURSES\, OR IN THE EVENT OF A WITHDRAWAL FROM THIS COURSE\, PLEASE SELECT A ‘WAITLIST’ TICKET BELOW. \nCourse Synopsis\nTake your geoscience data analysis to the next level with SIH’s Python for Geoscience course. Leverage the modelling and workflow capabilities of Python to wrangle terabytes of geoscience data. We will introduce Python foundations integrating geospatial and temporal raster and vector data. We will carry out exploratory\, machine and deep learning analyses on these datasets\, and demonstrate workflows to go from your local computer to high performance\, cloud\, and GPU computing. At the end of the course\, participants will be able to adapt workflows and apply these to their own datasets and generate reports. \nCourse Pre-requisites\nNo previous programming experience is required\, but Session 1 is a pre-requisite for the other sessions. Training will be delivered online\, so you will need access to a modern computer with a stable internet connection. Participants are encouraged to setup a Python environment on their local computer (instructions to be provided)\, but participation using Google Colab will also be supported (Google account required). \n  \n\n\n\nPresentation:\nIntroduction to Python for Geoscience 2023\n\n\nVenue:\nParticipants will be provided with a Zoom\nlink. Trainers will be broadcasting from\nSydney.\n\n\nDate & Time:\nSession 1 Python fundamentals\nTues Aug 15\, 12:00-3:00pm (AEST)\nSession 2 Specialist python libraries and data analysis for geoscience\nTues Aug 22\, 12:00-3:00pm (AEST)\nSession 3 Pattern recognition in geoscience\nTues Aug 29\, 12:00-3:00pm (AEST)\nSession 4 Large data and long running workflow strategies\nTues Sep 5\, 12:00-3:00pm (AEST)\n\n\n\n  \nIntroduction to Python for Geoscience\nSession 1 Python fundamentals\nRunning code\nSyntax\, comments\, and variables\nLists and indexing\nLoops\, operators\, conditions\nControl statements\nFunctions\nReading and exploring data from external csv/text files\nBasic NumPy arrays and Pandas dataframes\nBasic plotting with Matplotlib \nSession 2 Specialist python libraries and data analysis for geoscience\nWorking with shapefiles and well-log data\nIntermediate Pandas and NumPy array data manipulation\nWorking with NetCDF and GeoTIFF raster data using SciPy\nGeospatial plotting with Cartopy \nSession 3 Pattern recognition in geoscience\nRaster file image recognition\nMachine learning approaches with Scikit-learn\nDeep learning with Keras/Tensorflow and GPUs\nTime series forecasting/prediction \nSession 4 Large data and long running workflow strategies\nLarge-scale data multi-processing\nDebugging and profiling code\nDask and GeoPandas for dealing with large data\nArcGIS/QGIS data exporting to Python and back. \nThroughout the four sessions you will gain experience with best practices for structuring code and testing modular functions and workflows. You will learn about the libraries\, data structures\, and functions available within Python. We will explore commonly used approaches to solve geoscience problems with deep learning and parallel computing. Bonus tools and skills that you will be exposed to throughout the course include: GitHub and version control\, Jupyter Notebooks\, troubleshooting and errors\, Python library management\, and Google Colab/text editors & Docker containers. \n\n\n\n\nCost for the complete course of four sessions:\n\n\n\n\n\nPESA Members – $650\nNon-Members – $800\nStudent / Retired Members – $650\n\n\n\n\n\n  \n\n  \n\n\n\n\nKeep track of upcoming PESA QLD Events:\n\nClick here to view PESA QLD Events Calendar on the web———————————————————————Click here to subscribe to PESA QLD Events by adding it to your Google Calendar\n\n\n\n 
URL:https://pesa.com.au/events/pesa-qld-online-course-introduction-to-python-for-geoscience-2023/2023-08-15/
LOCATION:Zoom\, Australia
CATEGORIES:Industry,National,Online,Online Course,QLD
ATTACH;FMTTYPE=image/gif:https://pesa.com.au/wp-content/uploads/2023/07/PESA-Python-Course-2023-event-header.gif
ORGANIZER;CN="PESA QLD Branch":MAILTO:qld-treasurer@pesa.com.au
GEO:-25.274398;133.775136
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BEGIN:VEVENT
DTSTART;TZID=Australia/Perth:20230822T110000
DTEND;TZID=Australia/Perth:20230822T120000
DTSTAMP:20260607T232507
CREATED:20230727T032626Z
LAST-MODIFIED:20231201T051424Z
UID:10008412-1692702000-1692705600@pesa.com.au
SUMMARY:2023 PESA WEBINAR SERIES: Machine Learning and Intelligent Augmentation Applied to Legacy Subsurface Data
DESCRIPTION:Kindly supported by Rock Flow dynamics  \n  \nThis live webinar will take place at: \n11am              – Perth \n12.30pm       – Darwin\, Adelaide \n1pm                – Brisbane\, Canberra\, Hobart\, Melbourne\, Sydney \n  \nUse the calendar link on this page to add this event in to your own calendar at the correct local time for your location. \nTickets are free for members (please log in to see this) and $10 for non members. \nPlease buy your tickets and immediately follow the link in the ticket e-mail (not the calendar invite or this webpage\, which is just generic and not event specific) to set up your registration with the webinar software well in advance of the time of the talk. Once registered with the webinar software you will receive a reminder e-mail 1 hour beforehand. \nMachine Learning and Intelligent Augmentation Applied to Legacy Subsurface Data \nPresented by Jess Kozman (Katalyst Data Management) \nAbstract \n\nRecent emphasis on low carbon energy projects in Australia  means large volumes of unstructured subsurface data become valuable to operators. . The need to  evaluate reservoirs for energy or carbon storage or light gas extraction means a requirement to de-risk geographic search and  make machine-readable text available for advanced data science algorithms. Companies with access to data gain a competitive advantage in licensing activities. Exisiting data management workflows may be too costly and resource intensive to support these emerging requirements. \nWe highlight how a  workflow using Machine Learning (ML) and Intelligence Augmentation (IA) can improve the efficiency of a typical data management workflow. Our example involves manually identifying relevant well logs in images from collection of tens of thousands of file types\, a typical task for an operator using open-file data in Australia. The current process may involve downloading from multiple state and federal repositories and manually entering indexing metadata into internal data repositories. \nWe have developed internal ML/AI data extraction workflows that that streamline automatically separating well log image files\, extracting mandatory indexing meta-data\, and presenting model-trained choices to end-users for adjustment and verification. The full solution involves image classification\, enhanced Optical Character Recognition(OCR)\, Natural Language Processing (NLP) for keyword labels and values\, and a User Interface (UI) that delivers and documents increased data quality and confidence metrics.
URL:https://pesa.com.au/events/2023-pesa-webinar-series-machine-learning-and-intelligent-augmentation/
LOCATION:SA
CATEGORIES:Industry,National,Online,Technical Talk
ATTACH;FMTTYPE=image/avif:https://pesa.com.au/wp-content/uploads/2023/07/JessKozman_PESATalk_Image_22August23.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230822T120000
DTEND;TZID=Australia/Brisbane:20230822T150000
DTSTAMP:20260607T232507
CREATED:20230703T103944Z
LAST-MODIFIED:20230807T023716Z
UID:10008533-1692705600-1692716400@pesa.com.au
SUMMARY:PESA QLD: Online Course - Introduction to Python for Geoscience - 2023 - SOLD OUT
DESCRIPTION:Introduction to Python for Geoscience 2023\nPLEASE NOTE THAT THIS EVENT IS NOW SOLD OUT. IF YOU WOULD LIKE TO JOIN THE WAITLIST FOR FUTURE COURSES\, OR IN THE EVENT OF A WITHDRAWAL FROM THIS COURSE\, PLEASE SELECT A ‘WAITLIST’ TICKET BELOW. \nCourse Synopsis\nTake your geoscience data analysis to the next level with SIH’s Python for Geoscience course. Leverage the modelling and workflow capabilities of Python to wrangle terabytes of geoscience data. We will introduce Python foundations integrating geospatial and temporal raster and vector data. We will carry out exploratory\, machine and deep learning analyses on these datasets\, and demonstrate workflows to go from your local computer to high performance\, cloud\, and GPU computing. At the end of the course\, participants will be able to adapt workflows and apply these to their own datasets and generate reports. \nCourse Pre-requisites\nNo previous programming experience is required\, but Session 1 is a pre-requisite for the other sessions. Training will be delivered online\, so you will need access to a modern computer with a stable internet connection. Participants are encouraged to setup a Python environment on their local computer (instructions to be provided)\, but participation using Google Colab will also be supported (Google account required). \n  \n\n\n\nPresentation:\nIntroduction to Python for Geoscience 2023\n\n\nVenue:\nParticipants will be provided with a Zoom\nlink. Trainers will be broadcasting from\nSydney.\n\n\nDate & Time:\nSession 1 Python fundamentals\nTues Aug 15\, 12:00-3:00pm (AEST)\nSession 2 Specialist python libraries and data analysis for geoscience\nTues Aug 22\, 12:00-3:00pm (AEST)\nSession 3 Pattern recognition in geoscience\nTues Aug 29\, 12:00-3:00pm (AEST)\nSession 4 Large data and long running workflow strategies\nTues Sep 5\, 12:00-3:00pm (AEST)\n\n\n\n  \nIntroduction to Python for Geoscience\nSession 1 Python fundamentals\nRunning code\nSyntax\, comments\, and variables\nLists and indexing\nLoops\, operators\, conditions\nControl statements\nFunctions\nReading and exploring data from external csv/text files\nBasic NumPy arrays and Pandas dataframes\nBasic plotting with Matplotlib \nSession 2 Specialist python libraries and data analysis for geoscience\nWorking with shapefiles and well-log data\nIntermediate Pandas and NumPy array data manipulation\nWorking with NetCDF and GeoTIFF raster data using SciPy\nGeospatial plotting with Cartopy \nSession 3 Pattern recognition in geoscience\nRaster file image recognition\nMachine learning approaches with Scikit-learn\nDeep learning with Keras/Tensorflow and GPUs\nTime series forecasting/prediction \nSession 4 Large data and long running workflow strategies\nLarge-scale data multi-processing\nDebugging and profiling code\nDask and GeoPandas for dealing with large data\nArcGIS/QGIS data exporting to Python and back. \nThroughout the four sessions you will gain experience with best practices for structuring code and testing modular functions and workflows. You will learn about the libraries\, data structures\, and functions available within Python. We will explore commonly used approaches to solve geoscience problems with deep learning and parallel computing. Bonus tools and skills that you will be exposed to throughout the course include: GitHub and version control\, Jupyter Notebooks\, troubleshooting and errors\, Python library management\, and Google Colab/text editors & Docker containers. \n\n\n\n\nCost for the complete course of four sessions:\n\n\n\n\n\nPESA Members – $650\nNon-Members – $800\nStudent / Retired Members – $650\n\n\n\n\n\n  \n\n  \n\n\n\n\nKeep track of upcoming PESA QLD Events:\n\nClick here to view PESA QLD Events Calendar on the web———————————————————————Click here to subscribe to PESA QLD Events by adding it to your Google Calendar\n\n\n\n 
URL:https://pesa.com.au/events/pesa-qld-online-course-introduction-to-python-for-geoscience-2023/2023-08-22/
LOCATION:Zoom\, Australia
CATEGORIES:Industry,National,Online,Online Course,QLD
ATTACH;FMTTYPE=image/gif:https://pesa.com.au/wp-content/uploads/2023/07/PESA-Python-Course-2023-event-header.gif
ORGANIZER;CN="PESA QLD Branch":MAILTO:qld-treasurer@pesa.com.au
GEO:-25.274398;133.775136
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230829T120000
DTEND;TZID=Australia/Brisbane:20230829T150000
DTSTAMP:20260607T232507
CREATED:20230703T103944Z
LAST-MODIFIED:20230807T023716Z
UID:10008534-1693310400-1693321200@pesa.com.au
SUMMARY:PESA QLD: Online Course - Introduction to Python for Geoscience - 2023 - SOLD OUT
DESCRIPTION:Introduction to Python for Geoscience 2023\nPLEASE NOTE THAT THIS EVENT IS NOW SOLD OUT. IF YOU WOULD LIKE TO JOIN THE WAITLIST FOR FUTURE COURSES\, OR IN THE EVENT OF A WITHDRAWAL FROM THIS COURSE\, PLEASE SELECT A ‘WAITLIST’ TICKET BELOW. \nCourse Synopsis\nTake your geoscience data analysis to the next level with SIH’s Python for Geoscience course. Leverage the modelling and workflow capabilities of Python to wrangle terabytes of geoscience data. We will introduce Python foundations integrating geospatial and temporal raster and vector data. We will carry out exploratory\, machine and deep learning analyses on these datasets\, and demonstrate workflows to go from your local computer to high performance\, cloud\, and GPU computing. At the end of the course\, participants will be able to adapt workflows and apply these to their own datasets and generate reports. \nCourse Pre-requisites\nNo previous programming experience is required\, but Session 1 is a pre-requisite for the other sessions. Training will be delivered online\, so you will need access to a modern computer with a stable internet connection. Participants are encouraged to setup a Python environment on their local computer (instructions to be provided)\, but participation using Google Colab will also be supported (Google account required). \n  \n\n\n\nPresentation:\nIntroduction to Python for Geoscience 2023\n\n\nVenue:\nParticipants will be provided with a Zoom\nlink. Trainers will be broadcasting from\nSydney.\n\n\nDate & Time:\nSession 1 Python fundamentals\nTues Aug 15\, 12:00-3:00pm (AEST)\nSession 2 Specialist python libraries and data analysis for geoscience\nTues Aug 22\, 12:00-3:00pm (AEST)\nSession 3 Pattern recognition in geoscience\nTues Aug 29\, 12:00-3:00pm (AEST)\nSession 4 Large data and long running workflow strategies\nTues Sep 5\, 12:00-3:00pm (AEST)\n\n\n\n  \nIntroduction to Python for Geoscience\nSession 1 Python fundamentals\nRunning code\nSyntax\, comments\, and variables\nLists and indexing\nLoops\, operators\, conditions\nControl statements\nFunctions\nReading and exploring data from external csv/text files\nBasic NumPy arrays and Pandas dataframes\nBasic plotting with Matplotlib \nSession 2 Specialist python libraries and data analysis for geoscience\nWorking with shapefiles and well-log data\nIntermediate Pandas and NumPy array data manipulation\nWorking with NetCDF and GeoTIFF raster data using SciPy\nGeospatial plotting with Cartopy \nSession 3 Pattern recognition in geoscience\nRaster file image recognition\nMachine learning approaches with Scikit-learn\nDeep learning with Keras/Tensorflow and GPUs\nTime series forecasting/prediction \nSession 4 Large data and long running workflow strategies\nLarge-scale data multi-processing\nDebugging and profiling code\nDask and GeoPandas for dealing with large data\nArcGIS/QGIS data exporting to Python and back. \nThroughout the four sessions you will gain experience with best practices for structuring code and testing modular functions and workflows. You will learn about the libraries\, data structures\, and functions available within Python. We will explore commonly used approaches to solve geoscience problems with deep learning and parallel computing. Bonus tools and skills that you will be exposed to throughout the course include: GitHub and version control\, Jupyter Notebooks\, troubleshooting and errors\, Python library management\, and Google Colab/text editors & Docker containers. \n\n\n\n\nCost for the complete course of four sessions:\n\n\n\n\n\nPESA Members – $650\nNon-Members – $800\nStudent / Retired Members – $650\n\n\n\n\n\n  \n\n  \n\n\n\n\nKeep track of upcoming PESA QLD Events:\n\nClick here to view PESA QLD Events Calendar on the web———————————————————————Click here to subscribe to PESA QLD Events by adding it to your Google Calendar\n\n\n\n 
URL:https://pesa.com.au/events/pesa-qld-online-course-introduction-to-python-for-geoscience-2023/2023-08-29/
LOCATION:Zoom\, Australia
CATEGORIES:Industry,National,Online,Online Course,QLD
ATTACH;FMTTYPE=image/gif:https://pesa.com.au/wp-content/uploads/2023/07/PESA-Python-Course-2023-event-header.gif
ORGANIZER;CN="PESA QLD Branch":MAILTO:qld-treasurer@pesa.com.au
GEO:-25.274398;133.775136
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