Sule

Rachmat

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Who Should Attend
This course is designed for employees of all ages primarily interested in clastic stratigraphy and reservoirs as they pertain to the exploration and development of oil and natural gas. Professionals may be engaged in technical to management positions.
Objectives

This course will teach attendees to:

  • Build and use a powerful tool capable of making valuable predictions and classifications from data in the workplace
  • Continue to adapt the tool to add new functionality or customization
  • Develop and deploy basic software in Microsoft Excel using Visual Basic (VBA)
  • Recognize opportunities for new data science software to add value in the firm
  • Collect and organize data for use in data science projects in Excel
  • Identify free online tools to continue their learning outside of the course
  • Determine when machine learning should be used on a problem
  • Describe the random forest method and component steps in rigorous detail
  • Explain random forest’s place in the world of machine learning
  • Create effective pseudocode and commenting in larger-scale software
  • Judge the effort and time requirements of software and data science projects
Why This Course Stands Out
  • You keep the tool: The random forest tool that is developed in the class and its master copy from the instructor are production-ready and will be given to all attendees.
  • The course is built for you: There are many courses teaching software engineering and data science today. Rather than dilute the lessons in order to teach to a general audience, this course has been built for an oil and gas attendee skillset and use cases. All examples and exercises will reflect common workplace problems faced by attendees.
  • Move quicker in Excel: Learning to deploy random forest can take several weeks of training in graduate data science programs, but this course makes use of your existing knowledge of Excel to accelerate the learning. You can also skip all the parts about learning to create a robust back end and just rely on Excel spreadsheets for data storage.
  • Random forests add considerable value: Random forests are widely applicable, do not require extremely large data sets, can be used for both regression and categorization, and are typically capable of yielding high accuracy results without extensive tuning. They are generally not available in Excel, but this workshop makes them so.
  • Understand every step: Rather than teach advanced data science methodologies using off-the-shelf tools that do not allow visualization of intermediate steps, this course deliberately pushes all intermediate output into Excel, making it easy to see, understand, trust, and adapt everything created in the course for deployment on the job.
Web-Based Participation

This course will be available for online participation only.

Course Content

This 1-day seminar is designed to provide professionals with a modern awareness of the full spectrum of marine siliciclastic stratigraphy and petroleum reservoirs. Taught from the perspective of an exploration business unit, diverse industry datasets are used throughout the collaborative course to illustrate the broad variation and scale of primarily deep-marine depositional environments and their petroleum reservoirs, seals, and traps. This course dives downslope in a marine depositional system and examines feeder systems that link the shelf to submarine canyon, to submarine fan, to outer fan, to distal basin plain, using many of the most illustrative outcrop, core, and seismic examples from various active and passive margins – including key examples from petroleum basins in the Asia-Pacific region.

This course is designed to give industry professionals an appreciation of the predictive attributes of deep-water stratigraphy and reservoirs, as well as knowledgeable insight into the scale and architecture of the wide range of deep-water depositional systems. This course draws from materials presented in field courses to outcrops and petroleum basins worldwide.

The modifying term “deep-water” is often misunderstood, and it does not imply that these types of rocks are found only in modern offshore environments. Rather, many of the petroliferous basins onshore today are filled with shallow-water and deep-water marine strata including turbidites and intervals of interbedded mudstone.

Short Course Brochure

55570
Accommodation information is not yet available for this event. Please check back often.
$595
$595
Expires on
15 April, 2020
Professional Fee
$395
$395
Expires on
15 April, 2020
Displaced Professionals Fee
$295
$295
Expires on
15 April, 2020
Student Fee
Web-Based Participation

This course will be available for online participation only.

Includes
  • Course Materials

 

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The American Association of Petroleum Geologists (AAPG) does not endorse or recommend any products and services that may be cited, used or discussed in AAPG publications or in presentations at events associated with AAPG.