Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Peter Fitch"'
Autor:
Cara Stitzlein, Jeffrey A. Baldock, Stephen H. Roxburgh, Martijn Mooij, Daniel Smith, Peter Fitch
Publikováno v:
Carbon Management, Vol 14, Iss 1 (2023)
AbstractCarbon farming presents an opportunity for the land sector to generate income and transition to more sustainable land management practices. In Australia, establishing a carbon project and earning carbon credits is complex, with project propon
Externí odkaz:
https://doaj.org/article/889e964459ad403796c2e4a93be0b306
Publikováno v:
Frontiers in Environmental Science, Vol 7 (2019)
Predicting trends in water quality plays an essential role in the field of environmental modeling. Though artificial neural networks (ANN) have been involved in predicting water quality in many studies, the prediction performance is highly affected b
Externí odkaz:
https://doaj.org/article/0e35af896afe46b3af6f672dcf2a8e93
Autor:
Jenny Omma, Christopher A.-L. Jackson, Michael Steventon, Peter Fitch, Christine Gopon, David M. Hodgson, Howard D. Johnson, Christopher J. Stevenson, Sean Kelly
Publikováno v:
Steventon, M J, Jackson, C A-L, Johnson, H D, Hodgson, D M, Kelly, S, Omma, J, Gopon, C, Stevenson, C & Fitch, P 2021, ' Evolution of a sand-rich submarine channel–lobe system, and the impact of mass-transport and transitional-flow deposits on reservoir heterogeneity: Magnus Field, Northern North Sea ', Petroleum Geoscience, vol. 27, no. 3, petgeo2020-095 . https://doi.org/10.1144/petgeo2020-095
Petroleum Geoscience
Petroleum Geoscience
The geometry, distribution, and rock properties (i.e. porosity and permeability) of turbidite reservoirs, and the processes associated with turbidity current deposition, are relatively well known. However, less attention has been given to the equival
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d556c331526bdb962b659ed059757bf
https://eprints.whiterose.ac.uk/172390/
https://eprints.whiterose.ac.uk/172390/
Publikováno v:
IEEE Internet of Things Journal. 6:6618-6628
Missing data are unavoidable in wireless sensor networks, due to issues such as network communication outage, sensor maintenance or failure, etc. Although a plethora of methods have been proposed for imputing sensor data, limitations still exist. Fir
Autor:
Bruce V. Taylor, Anthony J. Webster, Sheriden Morris, Peter Fitch, Peter J. Thorburn, Simon Fielke, Aaron Davis
Publikováno v:
Marine pollution bulletin. 169
In recent decades, significant advances have been made in understanding the generation, fates and consequences of water quality pollutants in the Great Barrier Reef ecosystem. However, skepticism and lack of trust in water quality science by farming
Autor:
Peter Fitch, Anila Sahar Butt
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030674441
MODELSWARD (Revised Selected Papers)
MODELSWARD (Revised Selected Papers)
The increasing ability of data-driven science is resulting in a growing need for applications that are under the control of data-centric workflows, also known as scientific workflows. The focus of this work is on provenance collection for these workf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::750a2aeb52a3acb82cdc60ec3d824d14
https://doi.org/10.1007/978-3-030-67445-8_5
https://doi.org/10.1007/978-3-030-67445-8_5
Publikováno v:
Day 3 Thu, November 19, 2020.
Condensate banking is one of the main challenges facing operators of gas condensate reservoirs. Different techniques have been used over the years to improve well deliverability in condensate reservoirs, including gas recycling, gas injection, matrix
Publikováno v:
Day 3 Wed, October 28, 2020.
Gas to Wire (GTW) is a concept which will aid the UK to meet their growing energy demand as, GTW will allow marginal and somewhat depleted gas fields to convert natural gas to electricity onsite, with the electricity exported via subsea power cables
Publikováno v:
Water
Volume 12
Issue 2
Water, Vol 12, Iss 2, p 585 (2020)
Volume 12
Issue 2
Water, Vol 12, Iss 2, p 585 (2020)
Water quality forecasting is increasingly significant for agricultural management and environmental protection. Enormous amounts of water quality data are collected by advanced sensors, which leads to an interest in using data-driven models for predi
Publikováno v:
MODELSWARD