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Prediction of chalk porosity and water saturation by combining seismic and GPR data

NIAID Data Ecosystem2026-03-14 收录

储层性质预测

地球物理数据融合

数据链接：

https://zenodo.org/record/6451062 数据链接链接失效反馈

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资源简介：

We predict porosity and water saturation of chalk by combining seismic and GPR data.

应用场景：

创建时间：

2023-01-26

地质碳封存模拟

储层性质预测

This report discusses the Lower to mid-Cretaceous age rock formations identified on the onshore Mid-Atlantic U.S. Coastal Plain and offshore northern Baltimore Canyon Trough (BCT) that show great pote

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航空磁测勘探

地球物理数据融合

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Enhancing bathymetric prediction by integrating gravity and gravity gradient data with deep learning

海底地形反演

地球物理数据融合

Enhancing bathymetric prediction by integrating gravity and gravity gradient data with deep learning

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Composite PMOD Data Fusion - updated April 2024

太阳辐射监测

地球物理数据融合

Data Fusion of Total Solar Irradiance Composite Time Series Using 41 years of Satellite Measurements. This is a dataset associated with the paper: Montillet, J.-P., Finsterle, W., Kermarrec, G., Sikon

Interdisciplinary Earth Data Alliance (IEDA)2024-06-25 更新70

Along-strike variations in the composition of sandstones derived from the uplifting western Greater Caucasus: causes and implications for reservoir quality prediction in the Eastern Black Sea

地质学

储层性质预测

Oligo-Miocene outcrops along the southern margin of the western Greater Caucasus preserve a record of sediments shed from the range into the northern and central parts of the Eastern Black Sea. Sandst

DataCite Commons2020-09-04 更新70

Prediction of chalk porosity and water saturation by combining seismic and GPR data

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