[PDF] cped.cn

Research and practice on an artificial intelligence seismic interpretation mode based on the E&P Dream Cloud

Y Ping, Z Shifan, L Ming, L Lei, G Rui… - China Petroleum …, 2020 - cped.cn
A new seismic data interpretation mode has been proposed, which is based on the E&P
Dream Cloud and deep learning methods. This new approach explores the combination of …
被引用次数：14 相关文章 所有 2 个版本
[PDF] cped.cn

Application and practice of integrated seismic data processing and interpretation driven by E&P Dream Cloud

S Linwei, W Xiaoshan, XU Haitao, W Yizhong… - China Petroleum …, 2020 - cped.cn
The E&P Dream Cloud platform developed by PetroChina contains a unified Data Lake, a
unified technology platform, and a general application environment. It supports the creation …
被引用次数：10 相关文章 所有 2 个版本
[PDF] jst.go.jp

Redefining seismic interpretation-Machine learning for fault interpretation, enhancing efficiency, accuracy and auditability through a cloud-based approach

S Manral, F Grady, O Zimina… - Journal of the Japanese …, 2019 - jstage.jst.go.jp
Market dynamics have challenged the oil and gas industry to evolve. Modern digital
technology has started to impact the entire oilfield lifecycle from exploration to development …
被引用次数：4 相关文章 所有 4 个版本

Predicting distribution of hydrocarbon reservoirs with seismic data based on learning of the small-sample convolution neural network

NT Lin, D Zhang, K Zhang, SJ Wang, C Fu… - Chinese Journal of …, 2018 - en.dzkx.org
Prediction of reservoirs with seismic data plays an important role in oil and gas explorations.
However, multiple stages or long periods of work are often required to complete prediction …
被引用次数：77 相关文章
[PDF] cped.cn

Progress and development direction of PetroChina intelligent seismic processing and interpretation technology

Z Bangliu, Y Xueshan, G Jianhu, C Dekuan… - China Petroleum …, 2021 - cped.cn
During the 13th Five-Year Plan period, PetroChina has kept up with the development trend
of advanced artificial intelligence and major needs in the fi eld of geophysical prospecting …
被引用次数：10 相关文章 所有 2 个版本

[引用][C] Enhancing fault interpretation efficiency and accuracy with deep convolutional neural network and elastic cloud compute

S Manral - First EAGE Digitalization Conference and Exhibition, 2020 - earthdoc.org
Enhancing Fault Interpretation Efficiency and Accuracy with Deep Convolutional Neural
Network and Elastic Cloud Compute | Earthdoc 1887 EarthDoc - Online Geoscience Database …
被引用次数：5 相关文章

Automatic Seismic Fault Interpretation with the Aid of Data-, Physics-, and Math-assisted Synthetic Data Generation

Y Lou, Y Wang, Y Chen, N Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Seismic fault interpretation is a crucial task for hydrocarbon reservoir characterization, CO2
geological storage, and geothermal energy evaluation. Deep learning (DL)-based methods …
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[PDF] cped.cn

Application research on intelligent logging interpretation based on E&P Dream Cloud

Z Lisha, SHI Yongbin, JIN Wei, L Hua… - China Petroleum …, 2020 - cped.cn
Geophysical logging is still the most important technical means used to identify the physical
properties of subsurface strata and to decide whether they are hydrocarbon-bearing. Using …
被引用次数：8 相关文章 所有 2 个版本

[引用][C] “Deep‐time Digital Basin” Based on Big Data and Artificial Intelligence

Z FENG, P LIAN - Acta Geologica Sinica‐English Edition, 2019 - Wiley Online Library
Information technology has been playing an ever-increasing role in geoscience. Sphisicated
database platforms are essential for geological data storage, analysis and exchange of Big …
被引用次数：10 相关文章 所有 4 个版本

Big data analytics in oil and gas industry

V Shah, J Shah, K Dudhat, P Mehta… - … Technol. Sustain. Smart …, 2022 - api.taylorfrancis.com
An oilfield is a commercial asset similar to any other in that it requires investment to generate
revenue. When it comes to the way the oil and gas (O&G) sector spends to create cash flow …
被引用次数：9 相关文章 所有 3 个版本