AAPG short courses offer a wealth of information in a short period of time. They are an effective and efficient way to learn about the industry. With so many to choose from, there’s something for everyone.
This course examines the evolution of concepts in deep water models, providing the participants with the knowledge and tools to describe and predict deep water reservoirs from exploration through production scales.
Implementing the growth mindset can change everything. Understand how the brain is wired, how our mindset is developed over time, and how to change it. Learn the basics of brain mechanics, how to overcome obstacles, and rewire biases. Discussion will include the mechanics of thought and behavior. We will take time to mindfully create a new mindset to drive new behaviors, responses, and results. Stretch yourself and watch new opportunities unfold in front of you. The course is based on empirical evidence from neuroscientists in the science of possibility.
This course provides a 40-year paleogeographic synthesis of the Caribbean, northern South America (Colombia to Suriname), southern Mexico, Central America, and the Antilles, highlighting principles, opportunities and risks used to construct a regional hydrocarbon exploration framework.
This short course discusses the growing importance of the seismic anisotropy of rock masses in seismic acquisition, processing, and interpretation.
This is a hands-on class anchored with a 65-piece teaching collection of natural and induced fractures in core that students will work with during class exercises. The class provides insights into fracture mechanics and the origins of fractures, and uses those concepts in a very applied sense to instill an understanding of natural fractures and their potential effects on permeability and fluid flow.
This AAPGWN geochemistry short course is open to anyone interested in gaining an introduction to rock, oil, gas, and water geochemistry. The goal is to provide participants with a basic knowledge of geochemistry and its key applications in the exploration, appraisal, and development of oil fields.
Sequence stratigraphy is an informal chronostratigraphic methodology that uses stratal surfaces to subdivide the stratigraphic record. This course is designed to teach graduate students the principles, concepts and methods of sequence stratigraphy.
Refresh concepts and terminology of sequence stratigraphy and explore more advanced concepts of Sequence Stratigraphy and its impact on Exploration and Production
Learn the high-level principles of five important topics in machine learning: neural networks; convolutional neural networks; support vector machines; principal component analysis; clustering methods. This short course is for physical scientists who have heard about Machine Learning (ML) and might know some details, but lack enough knowledge to assess ML applications in their specialty.
Introduction to Machine Learning (ML) – providing definitions, fundamental concepts of inference and prediction and the opportunity and limitations of ML
Natural fractures may be conductive in conventional reservoirs or may become conductive after hydraulic stimulation in unconventional reservoirs. This course addresses these concepts by examining datasets from both conventional and unconventional systems and presenting workflows to construct naturally-fractured reservoir models.
This workshop will focus on applications of anisotropic models and methods to seismic fracture characterization and microseismic monitoring of hydraulic fracturing.
The search and characterization of anthropogenic features is an important application for geophysical prospecting. Geophysical methods have also become a popular tool to detect both prehistoric and historic archaeological sites and for discovery of hydrologic and/or environmental problems at the archeological sites. This workshop will teach participants how geophysicists can be valuable collaborators for these investigations and aid in the planning for identifying unknown sites and future excavation or preservation plans.
There is a significant amount of applications of machine-learning algorithms published in the area of applied geophysics in the past few years. In this workshop, we will discuss machine-learning applications for applied-geophysics problems with an emphasis on the value of machine learning over conventional approaches and workflows.
Applied geophysics has a major role to play in the development of environmental impact assessment and monitoring of renewable energy sources such as geothermal, hydro, nuclear, wind, wave, tidal, and solar. Many future opportunities will require a refocusing of our most powerful 3D imaging and inversion methods from the deeper earth toward the near surface.
DAS, DTS, and DSS are the three distributed fiber-optic sensing (DFOS) technologies that have drawn much attention in recent years. Sensing fibers can be deployed in places that are otherwise inaccessible due to small size, high endurance to harsh environments, long sensing range as well as limited cost. This workshop focuses on sharing the recent development of the hardware, software, and interpretation methods of DFOS applications in all fields of applied geophysics.
Implementing carbon capture, usage, and storage (CCUS) projects at large scales is becoming a growing subject of interest for the geophysics community. This workshop will present what is already achievable but also the unknown and specificities that the geophysical community will face in the future.
This workshop aims to provide an introduction to 3D computer geologic earth models and will include a discussion of how to make geophysical earth modelling more interoperable with geologic earth modelling, thus facilitating closer interaction between geologists and geophysicists.
As demands for metals increase globally, many national governments have initiated programs toward critical mineral mapping that leverage legacy potential-field data combined with newly acquired data at national to global scales. Join us to hear from geophysical service companies, government agencies, industry, and academia on how synthesis of multiple geophysical data sets to image the concealed parts of the geology is crucial to filling the gaps in our knowledge in understanding both commercial and noncommercial geology.
The Gravity and Magnetics Committee jointly with the Near Surface Technical Section and the Mining Committee call for papers for a workshop scheduled for two half-days and focusing on magnetic method in memory of a potential-field pioneer, Afif Saad. Workshop organizers welcome contributions from academia, industry, and government organizations that emphasize various applications of the magnetic method to a wide range of scientific and applied problems. Students and the early- and mid-career participants who are willing to explore new career directions are particularly encouraged to participate.
Energy Storage and CCSU are emerging fields that are already new business opportunity for petroleum professionals. This workshop reviews the basics of different Energy Storage Technologies, CCSU, and injection induced seismicity.
DAS, DTS, and DSS are the three distributed fiber-optic sensing (DFOS) technologies that have drawn much attention in recent years. This workshop focuses on sharing the recent development of the hardware, software, and interpretation methods of DFOS applications in all fields of applied geophysics.
Geophysical challenges in presalt plays are significant from acquiring the right data, imaging, to property estimation of the subsurface in presalt environment. The focus of this workshop is to discuss latest geophysical ideas, and industry practices from locating, imaging to characterizing the reservoir.
Cities around the world, and especially in densely populated regions like Asia, have the potential to be the most efficient form of human society. Maintaining sustainability in megacities is crucial to seeking a global sustainable solution for the limited space, water, and energy resources. Geophysics has the potential to provide essential knowledge for urban planning, urban activity monitoring, and urban circular economy. To fully release such potential, innovations are needed to integrate new and conventional sensors, as well as nondedicated sensors and open social information. Furthermore, both physics-based and data-driven methods are essential to delineating different sources for urban activity monitoring and urban space characterization. Bridging the gap between geophysics, civil engineering, geotechnical engineering, digital informatics, and social economics provides the framework to guide project owners and local authorities to develop specific strategies for the sustainable development and management of urban environments.
The Gravity and Magnetics Committee jointly with the Near Surface Technical Section and the Mining Committee call for papers for a workshop scheduled for two half-days and focusing on magnetic methods in memory of a potential-field pioneer, Afif Saad. Workshop organizers welcome contributions from academia, industry, and government organizations that emphasize various applications of the magnetic method to a wide range of scientific and applied problems. Students and early- and mid-career participants who are willing to explore new career directions are particularly encouraged to participate.
Implementing carbon capture, usage, and storage (CCUS) projects at large scales is becoming a growing subject of interest for the geophysics community. This workshop will present what is already achievable but also the unknown and specificities that the geophysical community will face in the future. Technical presentations will serve as an opening for discussion between the audience and the invited speakers.
This course is informed by over 20 years working in oil and gas exploration and production with many companies and clients and by a further 15 years teaching structural and petroleum geology at Universities in Australia.
Join us for 'Multi-Criteria Geothermal Resource Assessment: From Play Analysis to Sustainability Evaluation'. A Masterclass presented by Dr. Luca Guglielmetti from the University of Geneva.
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