DEEP-LEARNING-BASED PROXY MODEL FOR FORECASTING GAS FLOODING PERFORMANCE OF FRACTURED WELL PATTERN IN TIGHT OIL RESERVOIRS

Deep-learning-based proxy model for forecasting gas flooding performance of fractured well pattern in tight oil reservoirs

Gas flooding in fractured well pattern is a combination of hydraulic fracturing and gas injection to displace reservoir oil within well pattern, and is one of the effective technologies for improving oil recovery in tight and low permeability reservoirs.However, due to the complexity of hydraulic Fabric Softeners fracturing and multi-phase flow, it

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Extended dark matter EFT

Abstract Conventional approaches to describe dark matter phenomenology at collider and (in)direct detection experiments in the form of dark matter effective field theory or simplified models suffer in general from drawbacks regarding validity at high energies and/or generality, limiting their applicability.In order to avoid these shortcomings, we p

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Comparative Analysis of Pine Needles and Coal for Electricity Generation using Carbon Taxation and Emission Reductions

Mitigating global climate change via emission control and taxation is promising for strengthening the economic benefits of bioenergy generation and utilization.This study examines the cost effectiveness of pine needles as an alternative fuel for off-grid electricity generation in India.We first examined the changes of prices in coal for electricity

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