the energy industry has become more reliant on big data. advances in computing technology and algorithms have allowed the industry to embrace the potential of using automation and data analytics in new and innovative ways. see how mathworks customers have enabled the multi-faceted digital transformation of petroleum, drilling, and reservoir engineering using matlab and simulink.
attendees learned about the latest developments in ai and analytics and how they are transforming petroleum exploration, drilling, and reservoir engineering.
attendees heard about real-world applications of matlab and simulink from leading mathworks customers in oil and gas.
attendees discovered the latest enhancements to our product portfolio and how to put these to use today.
modeling the drilling process allows us to understand the physics driving our systems. proposed tools and procedures can be tested without the time and risks of rig trials. in the near future, it will be inconceivable to put a new tool in the ground or new control system on a rig without fully testing the full system for performance and stability.
exxonmobil challenged the industry, contributed models, and gathered a coalition of experts to start this effort. additional models have been submitted by scientific drilling, norce, texas a&m, and the university of calgary, with more coming. mathworks has helped convert the initial exxonmobil code to simulink®, improve code stability, optimize the execution speed, and document how to use the models. all models, data, and test cases are freely available for academic and commercial use.
the university of calgary is coordinating the organization’s web and github sites. to join this effort, go to the open source drilling community and add your contact information to the mailing list on the contribute tab.
paul pastusek is a drilling mechanics advisor at exxonmobil. his expertise is in automation, drill string dynamics, steerable systems, borehole quality, bit applications, cutting mechanics, rig instrumentation and control systems, and failure analysis. he is a registered professional engineer, holds 42 us patents, and is leading two industry efforts: upgrading the iadc dull code system and founding the open source drilling community. paul received the 2020 spe international drilling engineering award and the 2017 spe-gcs regional drilling engineering award. he has a b.s.m.e. from texas a&m university and an m.b.a. from the university of houston.
gregory payette is a wells research engineer at exxonmobil. his e&p expertise is in drilling dynamics modeling and real-time drilling optimization. greg holds eight us patents, is an active member of the society of petroleum engineers (spe), and serves on the program committee for the yearly spe/iadc drilling conference and exhibition. he is also working to launch the open source drilling community. greg has mechanical engineering degrees from the university of idaho (b.s.) and texas a&m university (m.s. and ph.d.).
modeling geological storage of carbon dioxide is characterized by scarce data, large spans in spatial and temporal scales, and delicate balances between different physical flow mechanisms. the matlab® reservoir simulation toolbox (mrst) offers a set of simulators and workflow tools that have been specially designed to meet these challenges. the software combines results from more than a decade of academic research and development in co2 storage modeling into a unified toolchain that is easy and intuitive to use.
you’ll see a demonstration of functionality from mrst applied to studying hypothetical carbon storage in large-scale aquifer systems from the norwegian continental shelf. you’ll also discover tools and guis which can be used in a workflow from regional scale estimates to a detailed characterization of a specific storage site, including:
the reference application is free to download from the mathworks website.
francesca watson is a researcher in the computational geosciences group at sintef digital in oslo and has worked there since 2018. she specializes in reservoir simulation for co2 storage, and has been involved in both software development and managing bi-annual releases of mrst software. francesca has a ph.d. from durham university, uk.
this talk presents the design and implementation of a nonlinear model-based adaptive robust controller (arc) for tool motion control, driven by a hydrostatic transmission used in an oil and gas wireline operation. a detailed physical system model was built for controller design and testing. the arc controller was designed to address both parametric uncertainties and uncertain nonlinearities inherent in the nonlinear system dynamics. the controller software development and testing followed a model-based design procedure. a microservice architecture based on docker containers was adopted for the controller software which facilitated continuous integration and deployment. the preliminary testing results show the effectiveness of the arc controller design.
fanping bu joined the industrial internet center at schlumberger as an automation and control engineer in 2017. prior to that, he worked for ford motor company, halliburton, and hitachi global storage technologies. he designed and implemented control systems from concepts to field tests, products for automated vehicles, oil and gas equipment, and enterprise hard disks during his career. fanping was the recipient of the control engineering chief’s award from ford motor company, the o. hugo schuck best paper award from the american automatic control council, and the best of its research award from its america. he is a senior member of ieee and peer reviewer for ieee transactions and asme journals, has published over 40 peer reviewed conference and journal papers, and holds nine granted patents. fanping received his ph.d. degree from purdue university.
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