Fondazione Eni Enrico Mattei’s Post

#FEEM | #Event | #Research 🗓️ Tomorrow, Thursday, January 16, 2025 ⌚ h. 12:00 noon CET 📍Fondazione Eni Enrico Mattei, Corso Magenta 63, Milano 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗻𝗴 𝗘𝗻𝗲𝗿𝗴𝘆 𝗗𝗲𝗺𝗮𝗻𝗱 𝘄𝗶𝘁𝗵 𝗠𝗮𝘁𝗿𝗶𝘅 𝗮𝗻𝗱 𝗧𝗲𝗻𝘀𝗼𝗿 𝗙𝗮𝗰𝘁𝗼𝗿 𝗠𝗼𝗱𝗲𝗹𝘀 🎙️ 𝘒𝘦𝘺𝘯𝘰𝘵𝘦 𝘴𝘱𝘦𝘢𝘬𝘦𝘳 Matteo Barigozzi, Department of Economics, Alma Mater Studiorum - Università di Bologna 📄𝘈𝘣𝘴𝘵𝘳𝘢𝘤𝘵 This work provides a novel framework for #modeling #timeseries displaying multiple seasonal patterns. The methodology presented builds on recent advancements in high-dimensional factor analysis, focusing on time series tensor #factormodels. The method is applied in a the domain of #energydemand #forecasting, considering hourly data of energy demand in the U.S. We show that the proposed method effectively captures the multi-seasonal #patterns in the #data, providing interpretable loading values in line with the expected characteristics of the underlying phenomena. Albeit the extraction of seasonal components is achievable through the simpler #matrixfactor #models, we argue that a #tensorfactor model provide stronger asymptotic properties based on a thoughtful extension of the original #dataset encompassing multiple #electricity #providers. Tensor factor models’ results are evaluated against classical #vectorfactor models and functional time series methods, demonstrating the superior #forecasting accuracy of the tensor approach. The analyses in this work provide a robust framework for future model extensions by effectively accounting for complex #seasonalpatterns. These models can be integrated into more complex empirical settings, allowing for the incorporation of additional #variables to enhance accuracy in diverse #forecastingscenarios. ❗𝗧𝗵𝗲 𝗲𝘃𝗲𝗻𝘁 𝗰𝗮𝗻 𝗼𝗻𝗹𝘆 𝗯𝗲 𝗮𝘁𝘁𝗲𝗻𝗱𝗲𝗱 𝗶𝗻-𝗽𝗲𝗿𝘀𝗼𝗻. ❕𝘛𝘰 𝘱𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘵𝘦, 𝘳𝘦𝘨𝘪𝘴𝘵𝘳𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘳𝘦𝘲𝘶𝘪𝘳𝘦𝘥. 🔗 𝖱𝖤𝖦𝖨𝖲𝖳𝖱𝖠𝖳𝖨𝖮𝖭 𝖺𝗇𝖽 𝗂𝗇𝖿𝗈 👇🏻 https://lnkd.in/dvRTwZZM

Our Focus technical areas for the symposium: --------------------------------------------------- ** Surface factors: Addressing bottlenecks, back pressure, and water handling issues. ** New technology: Innovations to enhance the well performance and reduce costs of closed-in wells reactivation. ** Closed-in wells Re-Entry techniques and challenges. ** Economic factors: Intervention cost optimization and revised economics. ** Showcasing of successful well re-openings and lessons learned. ** Subsurface factors: Tackling reservoir depletion and integrity problems. ** Improving artificial lift efficiency. ** Data management and uncertainty challenges.

if concerned with #sustainability check out this work

"Leveraging Data Science in Production Economics" 📈🔍 Our latest paper, just published in the European Journal of Operational Research, rethinks the conventional approach to incorporating contextual variables in assessing production alternatives. Departing from regression-based analysis often applied in this context, our method offers a micro view of contextual variable impacts while, among others, minimizing the risk of over-specification (i.e., the inclusion of irrelevant contextual variables) or under-specification (i.e., the omission of important contextual variables). 💡🔄 *The paper is open access.* Discover more and explore its real-world application in energy regulation contexts: https://lnkd.in/grdm_a7x #datascience #efficiency #economics #regulation #production #efficiency #optimization

Exciting news! Our latest journal article has just been published!🎉 In this collaborative work with Dr. Olufemi Olorode, we presented the first experimentally validated core-to-field-scale numerical models for Biologically Induced Mineral Precipitation (BIMP) in rocks. These models were used to assess the effectiveness of a biologically induced mineral precipitation (BIMP) strategy for mitigating subsurface leakage of geologically stored CO2 and hydrogen, both in the near term and long term.

🌟 Excited to share that our paper, “Taking bio-induced precipitation to the field for sustainable geo-energy storage: Experimental and numerical studies of leakage mitigation”, has been published in the Elsevier Journal of Energy Storage! 🎉 In this work, we tackle a critical challenge-- preventing hydrogen and CO2 leakage from subsurface reservoirs to the surface or shallower rocks. Using core-to-field-scale numerical simulations calibrated with experimental data, we assessed the improvement in: ✅ long-term CO2 storage efficiency using bio-induced mineral precipitation (BIMP) ✅ cyclic hydrogen storage/production efficiency using BIMP. Special thanks to Dr. Oladoyin Kolawole from New Jersey Institute of Technology for collaborating on this project. Chibuzor Igweonu and Harun Ur Rashid's contributions are also greatly appreciated! 🙏 Check out the full article here: https://lnkd.in/gaCdaKTR Feel free to read, share, or connect if you’re interested in discussing more! 🌍💡 #MICP #BIMP #HydrogenStorage #CO2storage #URSlab #MERSgroup #CCUS

Ministry of Earth Sciences (MoES) Government of India Call for Proposals in Hydrology and Cryosphere in the Indian Himalayan Region Scope of the Call: The Indian Himalayan Region (IHR) faces challenges in capturing the complexity of its glacier and hydrological regimes due to the under-representation of benchmark glaciers and sparse validation data for large-scale remote sensing and model-based studies. An integrated approach—combining observational, modelling, and remote sensing techniques—is crucial to comprehensively understanding glacier dynamics, and the glacier hydrological contributions downstream. Simultaneously, addressing hydrology in gauged and ungauged basins—whether rain-fed or snow-fed— is vital for sustainable water management. These basins, integral to agriculture, ecosystems, and livelihoods, are highly sensitive to climate variability. The MoES, under the PAMC Hydrology and Cryosphere under the REACHOUT scheme, invites proposals for integrated research to generate critical databases and insights, enhancing water security, mitigating climate-induced risks, and promoting sustainable development in glacier-fed and raindependent regions. Investigators belonging to Universities, Research/Academic institutions may submit proposals under any ONE of the following two themes: I. Cryosphere: Integrated study including remote observations, modelling and field-based investigation of glaciers and glacierized basins encompassing seasonal snow contributions in micro-watershed or micro-basin level. II. Hydrology: Basin-scale water sustainability studies under the impact of changing climate in India: rain and snow-fed; gauged and ungauged basins. More: https://lnkd.in/gRi7g8Vu

#FEEM | #WorkingPapers 📝 𝐹𝐸𝐸𝑀 𝑊𝑜𝑟𝑘𝑖𝑛𝑔 𝑃𝑎𝑝𝑒𝑟 𝐂𝐚𝐮𝐬𝐚𝐥𝐢𝐭𝐲, 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐞𝐝𝐧𝐞𝐬𝐬, 𝐚𝐧𝐝 𝐕𝐨𝐥𝐚𝐭𝐢𝐥𝐢𝐭𝐲 𝐏𝐚𝐬𝐬-𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐚𝐦𝐨𝐧𝐠 𝐄𝐧𝐞𝐫𝐠𝐲-𝐌𝐞𝐭𝐚𝐥-𝐒𝐭𝐨𝐜𝐤-𝐂𝐚𝐫𝐛𝐨𝐧 𝐌𝐚𝐫𝐤𝐞𝐭𝐬: 𝐍𝐞𝐰 𝐄𝐯𝐢𝐝𝐞𝐧𝐜𝐞 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐄𝐔 ✒️𝐴𝑢𝑡ℎ𝑜𝑟𝑠 Parisa Pakrooh (Marie Sklodowska-Curie Postdoctoral Research Fellow, Fondazione Eni Enrico Mattei) Matteo Manera (Università degli Studi di Milano-Bicocca and Fondazione Eni Enrico Mattei) 📄𝐴𝑏𝑠𝑡𝑟𝑎𝑐𝑡 The EU #carbon market serves as an innovative financial instrument with the primary objective of contributing to mitigate the impacts of #climatechange. This market demonstrates significant interconnectedness with #fossilenergy, precious #metal, and #financialmarkets, although limited research has focused on the causality, dependency, intensity and direction of time-varying spillover effects. This study aims to investigate the causality direction, degree of dependency structure, and volatility transmission from Brent #Oil, UK Natural #Gas, Rotterdam #Coal, #Gold, #Silver, #Copper, and EuroStoxx600 future prices to EU Allowances during different periods of #EUmarket. To achieve these objectives, this paper proposes a novel methodological approach that combines the most recent econometrics methods, such as Directed Acyclic Graph analysis, C-Vine Copula models, and Time-Varying parameter Vector Auto Regressive models with Stochastic #Volatility with the use of a comprehensive sample of daily data from 26 April 2005 to 31 December 2022. The major findings of this study demonstrate that causality predominantly runs from #energy, metal, and financial markets to the EU carbon market. The dependency structure, although varying across different sub-periods, shows a strong relationship observed between oil, coal, silver, copper, #EuroStoxx600, and CO2 market. Additionally, the oil and copper futures prices exhibit the highest dependence on EUA prices. Furthermore, the study establishes that the EU carbon market is a net receiver of #shocks from all other markets, with the energy, metal, and financial markets significantly influencing volatility in EUA prices. The time-varying spillover effect is most pronounced with a one-day lag, and the duration of the spillover effects ranges from 2 to 15 days, gradually diminishing over time. These results have the potential to increase the understanding of the EU #carbonmarket and offer practical guidance for policymakers, investors, and companies involved in this domain. 🔗 𝐷𝑜𝑤𝑛𝑙𝑜𝑎𝑑 𝑡ℎ𝑒 𝐹𝐸𝐸𝑀 𝑊𝑃 👇🏻 https://lnkd.in/dvGnzUZz

📘NEW SCIENTIFIC ARTICLE Pore-scale modelling of subsurface biomineralization for carbon mineral storage. By  M. Starnoni, X. Sanchez-Vila Abstract This work is framed within the topic of microbially enhanced carbon mineralization: biological catalysts are utilized to alter reaction rates and enhance carbon mineralization in the context of CO2  storage in highly reactive minerals formations. We propose a micro-continuum Eulerian formulation of coupled flow and bio-geochemical reactive transport at the pore-scale, in which the reactive transport model is fully coupled with a biomass-nutrient growth model treated with Monod’s equation. In order to assess the role of biological catalysts in enhancing carbon mineralization, we then present simulations results and sensitivity studies of an application case of carbon mineralization in an idealized porous geometry with and without biomass growth at conditions relevant to CO2  storage in ultramafic rocks. Results clearly highlight the role of the biomass in enhancing the pH of the aqueous solution, a process called bioalkalinization, thereby leading in a highly non-linear way to enhanced calcite precipitation, resulting in an interesting potential methodology for CO2 immobilization. ➡ https://lnkd.in/dYqyiAXp

#FEEM | #Event | #Research 🗓️ Thursday, January 16, 2025 ⌚ h. 12:00 noon CET 📍Fondazione Eni Enrico Mattei, Corso Magenta 63, Milano 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗻𝗴 𝗘𝗻𝗲𝗿𝗴𝘆 𝗗𝗲𝗺𝗮𝗻𝗱 𝘄𝗶𝘁𝗵 𝗠𝗮𝘁𝗿𝗶𝘅 𝗮𝗻𝗱 𝗧𝗲𝗻𝘀𝗼𝗿 𝗙𝗮𝗰𝘁𝗼𝗿 𝗠𝗼𝗱𝗲𝗹𝘀 🎙️ 𝘒𝘦𝘺𝘯𝘰𝘵𝘦 𝘴𝘱𝘦𝘢𝘬𝘦𝘳 Matteo Barigozzi, Department of Economics, Alma Mater Studiorum - Università di Bologna 📄𝘈𝘣𝘴𝘵𝘳𝘢𝘤𝘵 This work provides a novel framework for #modeling #timeseries displaying multiple seasonal patterns. The methodology presented builds on recent advancements in high-dimensional factor analysis, focusing on time series tensor #factormodels. The method is applied in a the domain of #energydemand #forecasting, considering hourly data of energy demand in the U.S. We show that the proposed method effectively captures the multi-seasonal #patterns in the #data, providing interpretable loading values in line with the expected characteristics of the underlying phenomena. Albeit the extraction of seasonal components is achievable through the simpler #matrixfactor #models, we argue that a #tensorfactor model provide stronger asymptotic properties based on a thoughtful extension of the original #dataset encompassing multiple #electricity #providers. Tensor factor models’ results are evaluated against classical #vectorfactor models and functional time series methods, demonstrating the superior #forecasting accuracy of the tensor approach. The analyses in this work provide a robust framework for future model extensions by effectively accounting for complex #seasonalpatterns. These models can be integrated into more complex empirical settings, allowing for the incorporation of additional #variables to enhance accuracy in diverse #forecastingscenarios. ❗𝗧𝗵𝗲 𝗲𝘃𝗲𝗻𝘁 𝗰𝗮𝗻 𝗼𝗻𝗹𝘆 𝗯𝗲 𝗮𝘁𝘁𝗲𝗻𝗱𝗲𝗱 𝗶𝗻-𝗽𝗲𝗿𝘀𝗼𝗻. ❕𝘛𝘰 𝘱𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘵𝘦, 𝘳𝘦𝘨𝘪𝘴𝘵𝘳𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘳𝘦𝘲𝘶𝘪𝘳𝘦𝘥. 🔗 𝖱𝖤𝖦𝖨𝖲𝖳𝖱𝖠𝖳𝖨𝖮𝖭 𝖺𝗇𝖽 𝗂𝗇𝖿𝗈 👇🏻 https://lnkd.in/dvRTwZZM