Results 11 to 20 of about 796 (224)

3D rock strength prediction by an innovative approach that integrates geostatistics with machine deep learning models

Journal of Petroleum Exploration and Production Technology
This study aims to investigate the limitations of geostatistical prediction models outside the observed data range for estimating rock strength in nonreservoir formations in large geological fields with limited wireline data.
Hichem Horra, Ahmed Hadjadj, Elfakeur Abidi Saad, Khalil Moulay Brahim   +3 more
doaj   +2 more sources

Assessing the role of spatial externalities in the survival of Italian innovative startups

Regional Science Policy &Practice, EarlyView., 2023
Abstract The paper provides novel empirical evidence about the effects of spatial externalities on the survival of innovative startups in Italy. Using geocoded firm‐level data, we build micro‐geographic measures of specialization and diversity that are robust to the modifiable areal unit problem.
Diego Giuliani, Daniele Toffoli, Maria Michela Dickson, Andrea Mazzitelli, Giuseppe Espa   +4 more
wiley   +1 more source

Gas Saturated Sandstone Reservoir Modeling Using Bayesian Stochastic Seismic Inversion

JGEET: Journal of Geoscience, Engineering, Environment and Technology, 2020
This study has been done to map the distribution of gas saturated sandstone reservoir by using stochastic seismic inversion in the “X” field, Bonaparte basin. Bayesian stochastic inversion seismic method is an inversion method that utilizes the principle
Rahmat Catur Wibowo, Ditha Arlinsky Ar, Suci Ariska, Muhammad Budisatya Wiranatanagara, Pradityo Riyadi   +4 more
doaj   +1 more source

Variabilidade espacial da emissão de CO2 em Latossolos sob cultivo de cana-de-açúcar em diferentes sistemas de manejo Spatial variability of CO2 emission on Oxisol soils cultivated with sugar cane under different management practices

Engenharia Agrícola, 2008
Neste trabalho, foi determinada a estrutura da variabilidade espacial da emissão de CO2, temperatura e umidade de solos desprovidos de vegetação em duas localidades sob cultivo da cana-de-açúcar, em sistemas de manejos de cana crua e de cana queimada, no
Alan R. Panosso, Gener T. Pereira, José Marques Júnior, Newton La Scala Júnior   +3 more
doaj   +1 more source

Variabilidade espacial da umidade de um Latossolo Vermelho-Amarelo sob plantio direto Spatial variability of soil water content of a Red-Yellow Latosol under no-tillage

Engenharia Agrícola, 2010
O estudo da dependência espacial de atributos do solo é importante para aprimorar as práticas de manejo e de amostragem. Este trabalho teve o objetivo de estudar a variabilidade espacial da umidade de um Latossolo Vermelho-Amarelo sob plantio direto ...
Fabrício de M. T. Sampaio, Mozart M. Ferreira, Marcelo S. de Oliveira, Alberto C. Almeida, Marcos R. José   +4 more
doaj   +1 more source

Using Machine Learning Algorithms to Estimate Soil Organic Carbon Variability with Environmental Variables and Soil Nutrient Indicators in an Alluvial Soil

Land, 2020
Soil organic carbon (SOC) is an important indicator of soil quality and directly determines soil fertility. Hence, understanding its spatial distribution and controlling factors is necessary for efficient and sustainable soil nutrient management. In this
Kingsley JOHN, Isong Abraham Isong, Ndiye Michael Kebonye, Esther Okon Ayito, Prince Chapman Agyeman, Sunday Marcus Afu   +5 more
doaj   +1 more source

The application of the geo-accumulation index and geostatistical methods to the assessment of forest soil contamination with heavy metals in the Babia Góra National Park (Poland) [PDF]

Archives of Environmental Protection, 2020
The aim of this study was the application of the geo-accumulation index and geostatistical methods to the assessment of forest soil contamination with heavy metals in the Babia Góra National Park (BGNP).
Stanisław Łyszczarz, Ewa Błońska, Jarosław Lasota   +2 more
doaj   +1 more source

Spatial-temporal analysis of water requirements of coffee crop in Minas Gerais State, Brazil Análise espaço-temporal da demanda hídrica do cafeeiro, no Estado de Minas Gerais

Revista Brasileira de Engenharia Agrícola e Ambiental, 2010
Scientific investigations about crop water requirements are of fundamental importance to the irrigation process. The main objective of this paper is to analyze and to map water requirements of coffee crop in Minas Gerais State, Brazil.
Luis C. de A. Lemos Filho, Carlos R. de Mello, Manoel A. de Faria, Luiz G. de Carvalho   +3 more
doaj   +1 more source

SPATIAL VARIABILITY MAPPING OF SUGARCANE QUALITATIVE ATTRIBUTES [PDF]

Engenharia Agrícola, 2019
Spatial variability evaluation of qualitative attributes can be used as an excellent strategy to design forms of intervention that result in better crop profitability for some agricultural crops, for example, sugarcane.
Marcos N. Ferraz, Lucas de P. Corrêdo, Marcelo C. Fu Wei, José P. Molin   +3 more
doaj   +1 more source

Investigating the spatial pattern of total selenium concentration in soil surface in Central Iran (case study: Isfahan Province) [PDF]

علوم محیطی, 2020
Introduction: The study of the spatial distribution of heavy metals is very important in land management and planning. The geostatistics theory is used to estimate spatial variables in unmeasured points.
Somayeh Sadr, Zahra Movahedi Rad
doaj   +1 more source