Wednesday, May 11, 2022

  • 09:30:AM - 10:00:AM CT

    Capital Market, Mergers and Acquisitions: Impact on E&P Business Wednesday, May 11, 2022 | 09:30:AM - 10:00:AM CT Capital providers shifted away from oil and gas investments in recent years due to a period of low returns and growing interest in the energy transition. However, that lack of investment and newly minted supply security concerns are now driving oil and gas prices to ...

    Add to Calendar 05/11/2022 09:30 AM 05/11/2022 10:00 AM America/Chicago Capital Market, Mergers and Acquisitions: Impact on E&P Business Capital providers shifted away from oil and gas investments in recent years due to a period of low returns and growing interest in the energy transition. However, that lack of investment and newly minted supply security concerns are now driving oil and gas prices to the highest levels in recent memory. With higher prices, the market has started to question if the dormant mergers and acquisitions space will liven up again. In this SPE Live, Tuba Firincioglu and Sarp Ozkan discuss how capital markets have shifted their view on oil and gas investments, whether there is a shift in their thinking with higher prices, and what this all means for potential consolidation. https://streaming.spe.org/capital-market-mergers-and-acquisitions

Wednesday, February 01, 2023

  • 11:30:AM - 12:00:PM CT

    SPE Live Technical Director Series: Challenges and Questions to Improve DA/ML Applications in Reservoir Discipline Wednesday, February 01, 2023 | 11:30:AM - 12:00:PM CT The oil industry has a great experience with the applications of Data Analytics/ Artificial Intelligence/ Machine Learning (DA/AI/ML) in the Reservoir Engineering Discipline, specifically in reservoir surveillance and reservoir modeling and performance prediction. This situation is like what is occurring in other reservoir ...

    Add to Calendar 02/01/2023 11:30 AM 02/01/2023 12:00 PM America/Chicago SPE Live Technical Director Series: Challenges and Questions to Improve DA/ML Applications in Reservoir Discipline The oil industry has a great experience with the applications of Data Analytics/ Artificial Intelligence/ Machine Learning (DA/AI/ML) in the Reservoir Engineering Discipline, specifically in reservoir surveillance and reservoir modeling and performance prediction. This situation is like what is occurring in other reservoir subdisciplines, for example in reservoir characterization, reservoir management, and other petroleum engineering disciplines. Despite the wide range of data science and engineering applications, there is still room for improvement for the number of applications to be even greater and to improve future applications. In this SPE Live, the SPE DSEA Technical Director and the SPE Reservoir Technical Director address some of the challenges in the application of DA/AI/ML to several reservoir engineering problems, and answer some of the questions related to DA/AI/ML applications in reservoir modeling & performance prediction. Speakers: Rodolfo Camacho and Silviu Livescu. Moderated by: Birol Dindoruk https://streaming.spe.org/spe-live-technical-director-series-challenges-and-questions-to-improve-da-ml-applications-in-reservoir-discipline

Wednesday, February 15, 2023

  • 08:00:AM - 08:30:AM CT

    SPE Live Distinguished Lecturer Series: Waterflood Optimization by Data Analytics on Mature Fields Accelerate the Field Developing Process from Months to Weeks Wednesday, February 15, 2023 | 08:00:AM - 08:30:AM CT Currently, 70 percent of global oil is being produced from mature fields. The waterflood process is widely used to improve the oil recovery of mature fields. Unlocking the potential of existing mature assets and the optimization of waterflooding can be challenging using traditional dynamic modelling workflows ...

    Add to Calendar 02/15/2023 08:00 AM 02/15/2023 08:30 AM America/Chicago SPE Live Distinguished Lecturer Series: Waterflood Optimization by Data Analytics on Mature Fields Accelerate the Field Developing Process from Months to Weeks Currently, 70 percent of global oil is being produced from mature fields. The waterflood process is widely used to improve the oil recovery of mature fields. Unlocking the potential of existing mature assets and the optimization of waterflooding can be challenging using traditional dynamic modelling workflows due to high well count, years of historical production data (extensive data set), complex stratigraphy, etc.; however, these challenges create opportunities for applying data-driven techniques. In addition, increased attention towards reducing carbon emissions makes data-driven techniques more attractive as they are computationally-light techniques.First, this work reviews classical analytics for studying the waterflood process; after that, machine learning techniques are used to optimize rates of water injector wells for maximizing the production efficiency. Next, an innovative hybrid physics-guided data-driven method is presented to accelerate field development and locate the remaining oil (LTRO) process from months to weeks. The results of this new workflow are validated against outputs of the numerical simulation and 4D seismic info. Furthermore, the comparison of post drilling results and predictions of the new physics-guided data-driven workflow is presented for a field located in the Middle East. During this SPE Live, the SPE distinguished lecturer, Babak Moradi, demonstrates that it is now possible to deliver digital LTRO projects, capturing the full uncertainty ranges, including complex multi-vintage spatial 4D datasets, and providing reliable non-simulation physics-compliant data-driven production forecasts within weeks. This presentation addresses the challenge of reducing mature fields study resource intensity and therefore, time and costs whilst maintaining a high degree of fidelity. https://streaming.spe.org/spe-live-distinguished-lecturer-series-waterflood-optimization-by-data-analytics-on-mature-fields-accelerate-the-field-developing-process-from-months-to-weeks

Wednesday, March 15, 2023

  • 09:00:AM - 09:30:AM CT

    SPE Live Distinguished Lecturer Series: Physics Embedded Machine Learning for Modeling and Optimization of Mature Fields Wednesday, March 15, 2023 | 09:00:AM - 09:30:AM CT In traditional reservoir management, various types of predictive models have been applied over the years for either qualitative or quantitative optimization of various reservoir management decisions. Such models range from the very simple analytical models (type-curves, etc.) to the very complex reservoir simulation models. While ...

    Add to Calendar 03/15/2023 09:00 AM 03/15/2023 09:30 AM America/Chicago SPE Live Distinguished Lecturer Series: Physics Embedded Machine Learning for Modeling and Optimization of Mature Fields In traditional reservoir management, various types of predictive models have been applied over the years for either qualitative or quantitative optimization of various reservoir management decisions. Such models range from the very simple analytical models (type-curves, etc.) to the very complex reservoir simulation models. While analytical models are too simplistic for quantitative optimization, many issues such as the significant time and effort required to build and calibrate simulation models etc. generally prohibit their practical use for closed-loop quantitative optimization. Additionally, there have also been many attempts at the application of traditional machine learning approaches for predictive modeling of production performance. While such models can be built very efficiently and are very fast to evaluate, however, due to spatial sparsity of data, combined with poor measurement quality, and the absence of the underlying physics in such models, such purely data-driven approaches have only had limited success. During this SPE Live, the SPE distinguished lecturer, Pallav Sarma, describes a unique modeling approach termed Data Physics. Data Physics combines state-of-the-art in machine learning approaches and reservoir physics into unified models. These models can be created as efficiently as machine learning models, integrate all kinds of data, and can be evaluated orders of magnitude faster than full scale simulation models, and since they honor physics, they have good long term predictive capacity and can therefore be used for robust large-scale optimization. We present applications of Data Physics models to real waterflood injection and infill drilling optimizations. A significant increase in actual incremental oil production and reduction in operational cost is demonstrated. https://streaming.spe.org/spe-live-distinguished-lecturer-series-physics-embedded-machine-learning-for-modeling-and-optimization-of-mature-fields

Wednesday, April 12, 2023

  • 10:00:AM - 10:30:AM CT

    SPE Live Distinguished Lecturer Series: Methane Emissions: Our Obligation and Our Opportunity in the Energy Transition Wednesday, April 12, 2023 | 10:00:AM - 10:30:AM CT The world has entered an energy transition where the future role of energy sources will depend partially on their greenhouse gas footprint. While that transition is expected to take a generation, some changes will occur quickly. One of the fastest ways to combat climate change ...

    Add to Calendar 04/12/2023 10:00 AM 04/12/2023 10:30 AM America/Chicago SPE Live Distinguished Lecturer Series: Methane Emissions: Our Obligation and Our Opportunity in the Energy Transition The world has entered an energy transition where the future role of energy sources will depend partially on their greenhouse gas footprint. While that transition is expected to take a generation, some changes will occur quickly. One of the fastest ways to combat climate change is to reduce emissions of methane, not carbon dioxide. Methane is the main component of natural gas and a more potent greenhouse gas than carbon dioxide. The oil and gas industry handles a large quantity of methane, and a small amount of that methane leaks to the atmosphere. Because methane is such a potent greenhouse gas, those emissions are small in volume but large in environmental impact: methane is the dominant source of our industry's direct greenhouse gas emissions, above other sources like flaring. During this SPE Live, the SPE distinguished lecturer, Drew Pomerantz, describes the main sources of methane emissions, the market, and political drivers to reduce methane emissions, and the new technologies being developed to find and fix methane leaks. https://streaming.spe.org/spe-live-distinguished-lecturer-series-methane-emissions-our-obligation-and-our-opportunity-in-the-energy-transition