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.
The purpose of this course is to provide an overview of the sensitivity of elastic waves in the earth to the in-situ stress, pore pressure, and anisotropy of the rock fabric resulting from the depositional and stress history of the rock, and to introduce some of the applications of this sensitivity. The course will provide the basis for applying geophysics and rock physics solutions to geomechanical challenges in exploration, drilling, and production. A variety of applications and real data examples will be presented. Emphasis will be placed on the rock physics basis underlying the use of geophysical data for solving geomechanical problems. Integration of seismic inversion with well data to predict pore pressure, in-situ stress, and fracture gradient in unconventional reservoirs will be illustrated using examples from North America and the Middle East.
Data driven modeling is becoming a key differentiation to unlock higher recoveries from existing fields as well as identify new opportunities. The availability of data and democratization of these advanced algorithms is changing the landscape of subsurface workflows — helping create as well as improve existing ones. We are in an exciting phase in the industry where access as well as ease of using these advanced tools is transforming decision making in organizations.
This course provides a comprehensive methodology for diagnosis, analysis, and forecasting of well production data in unconventional resources. An extensive evaluation of the diagnostic tools for assessing data viability, checking data correlation along with flow regime identification is presented. The principal focus is to diagnose the characteristic flow regimes associated with well production and apply methodologies to estimate performance parameters and forecast production. These methodologies include simple analytical tools, decline curves, and more complex techniques such as nonlinear numerical simulation. Examples from tight gas sands, gas shales, and liquids-rich shale systems will illustrate the theoretical considerations and practical aspects.
Diagnostic fracture injection tests (DFITs) are fracture-injection tests used to estimate stress, pore pressure, and permeability. In a typical procedure, 5-300 bbl of fluid is injected to create a small fracture. Then, pressure is monitored for hours, days, or weeks after shut-in. In this course, I outline modern best-practices for estimating key parameters from a DFIT. Topics include: (a) preparing data and understanding context, (b) diagnosing trends in the pressure transient, (c) the influence of permeability, injection volume, and wellbore orientation on the observed transient, (d) estimating stress, (e) estimating pore pressure, (f) estimating permeability, and (g) identifying common 'gotchas'. The course covers the fundamental physics and derivations that explain DFIT phenomena. Finally, the course reviews interpretation of DFIT-FBA, flowback tests that can be used to accelerate the test.
EOR in low permeability unconventional reservoirs is happening across a number of basins and is rapidly becoming a sub-discipline of petroleum engineering. This course covers what has been done over the last decade with a special focus on huff-n-puff (cyclic) gas injection. This includes how to predict production forecasts and injection volumes required, as well as determining the contribution of different recovery mechanisms. Other techniques such as continuous injection and water/surfactant injection are also considered. We examine field trials across all of the basins and discuss the successes and lessons learned from them. Operational aspects to successfully implement EOR in unconventional wells are also covered.
Compatibility of fracturing fluids with injection water, commingled chemicals and formation mineralogy is a key driver of well performance that is challenging and specific. What if improving your frac fluid compatibility could substantially accelerate your reserves recovery or even increase your EUR?
This 8-hour course focuses on the crucial role of geosciences and engineering in enhancing profitability and economic value in the sustainable energy sector. Participants will learn about international sustainability frameworks, including the 17 UN Sustainable Development Goals (SDGs), ESG reporting/ranking schemes, and how to implement corporate sustainability strategies for decarbonization, societal well-being, and governance compliance.
There is a growing trend towards the use of statistical modeling and data analytics for analyzing the performance of petroleum reservoirs. The goal is to “mine the data” and develop data-driven insights to understand and optimize reservoir response. The process involves: (1) acquiring and managing data in large volumes, of different varieties, and at high velocities, and (2) using statistical techniques to discover hidden patterns of association and relationships in these large, complex, multivariate datasets. However, the subject remains a mystery to most petroleum engineers and geoscientists because of the statistics-heavy jargon and the use of complex algorithms.
This course will present the elements of the Petroleum Resources Management System (PRMS) and its resources classification framework, a systematic way of placing all petroleum initially in place in an accumulation into a convenient inventory. Resources are classified based on their probabilities of becoming commercial and placed into categories within classes based on their relative certainty of being produced. We will focus on economic criteria for classification as reserves. We will illustrate application of principles with frequent discussion questions about interpretation of PRMS.
This short training course (duration of 4 hours) is based on years of experience stemming from R&D in the fields of sedimentology, stratigraphy, structural geology, geochemistry, and uncertainty focusing on innovative technology in subsurface exploration and sustainable energy.
This session focuses on the use of stable carbon and oxygen isotopes and spectral gamma-ray data for enhancing stratigraphic resolution, particularly in carbonate reservoirs. Participants will explore case studies from the Middle-Late Triassic Al Aziziyah Formation in Libya and the Lower Triassic Lower Mahil KS-1 Formation in Oman, examining depositional sequences, facies architecture, and sea-level changes.
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