The impacts of wellbore and surface facility constraintson production prediction in a reservoir model [PDF]
Imperial Users ...
Akkawutvanich, Chanuttha +1 more
core
To address the lack of reliable measurement methods for identifying wear mechanisms and predicting the state of mechanical seal tribo-parts, this study proposes a method for characterizing tribological behavior based on measuring face vibration ...
Yunfeng Song +4 more
doaj +1 more source
Parameter sensitivity analysis of the axial stability for a marine flexible pipe
Marine unbonded flexible pipes serve as the most essential equipment in offshore oil and gas exploration and exploitation. Axial compressive loads during installation or in service in the complex marine environment usually lead to buckling failure.
Liping Tang +4 more
doaj +1 more source
Ending the Energy Stalemate: A Bipartisan Strategy to Meet America's Energy Challenges [PDF]
Provides detailed policy recommendations for addressing oil security, climate change, natural gas supply, the future of nuclear energy, and other long-term ...
core
Combined Grey Prediction and Neural Network Model for Oil and Gas Pipeline Wall Thinning
Yi Jiang +6 more
openaire +1 more source
Facilitating Low-Carbon Investments: Lessons from Natural Gas [PDF]
Decarbonisation of energy and transport infrastructure requires significant private sector investments. The natural gas industry has demonstrated such large scale private sector infrastructure investment over the last decades, typically using long-term ...
Anne Neumann, Karsten Neuhoff
core
A structure-preserving diffusion-based zero-shot learning framework for multimodal magnetic flux leakage signal analysis. [PDF]
Dou Q, Ren C.
europepmc +1 more source
Unburnable carbon in the rapidly warming Arctic: Mapping spatial relationships among oil and gas development, ecologically sensitive areas and Indigenous Peoples' lands. [PDF]
Codato D +6 more
europepmc +1 more source
A Mixture of Experts Model for Third-Party Pipeline Intrusion Detection Using DAS. [PDF]
Zhu S +7 more
europepmc +1 more source
Neural Network Model for Predicting the Condition of Oil and Gas Pipelines
T. E. Arteeva +2 more
openaire +1 more source

