Low rank matrix compression
In an example, an apparatus comprises logic, at least partially including hardware logic, to
implement a lossy compression algorithm which utilizes a data transform and quantization …
implement a lossy compression algorithm which utilizes a data transform and quantization …
Geological formation and log visualization
R Vennelakanti, L Christophe, I Tanuma… - US Patent …, 2019 - Google Patents
In some examples, a system may receive log data including a depth-series of data for a
sensed parameter. The system may determine a parameter value of the depth series data for …
sensed parameter. The system may determine a parameter value of the depth series data for …
Petrophysical inversion with machine learning-based geologic priors
Geophysical prospecting may employ a variety of data-acquisition techniques, including
seismic prospecting, electromagnetic prospecting, well logging, etc. Such data may be …
seismic prospecting, electromagnetic prospecting, well logging, etc. Such data may be …
Method and system for faster seismic imaging using machine learning
PM Zwartjes, R Hegge, R van Borselen - US Patent 12,032,111, 2024 - Google Patents
A method may include obtaining seismic data regarding a geological region of interest. The
seismic data may include various pre-processed gathers. The method may further include …
seismic data may include various pre-processed gathers. The method may further include …
Glacier Area Monitoring Based on Deep Learning and Multi-sources Data
G Wang, Y Liu, H Shen, S Zhou, J Liu, H Sun… - The 10th International …, 2021 - Springer
Glaciers are the source of fresh water that have obvious response on climate change. It is
crucial and meaningful to monitor glacier area. In this paper, a glacier detection method …
crucial and meaningful to monitor glacier area. In this paper, a glacier detection method …
Geological property modeling with neural network representations
G Shi, M Hassanpour, SB Ward - US Patent 12,056,780, 2024 - Google Patents
A neural network trainer trains neural networks to estimate secondary data at locations
throughout a geological formation where secondary data is unknown. The neural networks …
throughout a geological formation where secondary data is unknown. The neural networks …
Artificial learning fracture system and method for predicting permeability of hydrocarbon reservoirs
B Liang, C Hu, M Li - US Patent App. 17/039,403, 2021 - Google Patents
BACKGROUND [0004] Capturing the detailed hydraulic fracture shape and the associated
permeability enhanced by hydraulic fractur ing in low-porosity hydrocarbon reservoirs is a …
permeability enhanced by hydraulic fractur ing in low-porosity hydrocarbon reservoirs is a …
Seismic data representation and comparison
R da Silva Ferreira, EAV Brazil… - US Patent …, 2022 - Google Patents
A seismic dataset and a task to be performed with the seismic dataset may be received. A
representative seismic line representative of the seismic dataset may be generated. The …
representative seismic line representative of the seismic dataset may be generated. The …
Method for predicting subsurface features from seismic using deep learning dimensionality reduction for regression
DP Griffith, SA Zamanian, RD Potter - US Patent 11,698,471, 2023 - Google Patents
A method for training a backpropagation-enabled regression process is used for predicting
values of an attribute of subsurface data. A multi-dimensional seismic data set with an input …
values of an attribute of subsurface data. A multi-dimensional seismic data set with an input …
Systems and methods for generating subsurface property data as a function of position and time in a subsurface volume of interest
Y Zhang, MA Meadows - US Patent 12,092,783, 2024 - Google Patents
Abstract Systems and methods are disclosed for generating subsurface property data as a
function of position and time. Exemplary implementations may include obtaining a first initial …
function of position and time. Exemplary implementations may include obtaining a first initial …