Accelerating geostatistical seismic inversion using TensorFlow: A heterogeneous distributed deep learning framework
Geostatistical seismic inversion is one of emerging technologies in reservoir
characterization and reservoir uncertainty quantification. However, the challenge of …
characterization and reservoir uncertainty quantification. However, the challenge of …
In-memory fuzzing for binary code similarity analysis
Detecting similar functions in binary executables serves as a foundation for many binary
code analysis and reuse tasks. By far, recognizing similar components in binary code …
code analysis and reuse tasks. By far, recognizing similar components in binary code …
Generative adversarial network as a stochastic subsurface model reconstruction
In geosciences, generative adversarial networks have been successfully applied to
generate multiple realizations of rock properties from geological priors described by training …
generate multiple realizations of rock properties from geological priors described by training …
Performance analysis with cache-aware roofline model in intel advisor
The recent increase in the complexity of processor architectures imposes significant
challenges when designing and optimizing the execution of real-world applications, even on …
challenges when designing and optimizing the execution of real-world applications, even on …
Model reduction in geostatistical seismic inversion with functional data analysis
L Azevedo - Geophysics, 2022 - library.seg.org
In subsurface modeling and characterization, predicting the spatial distribution of subsurface
elastic properties is commonly achieved by seismic inversion. Stochastic seismic inversion …
elastic properties is commonly achieved by seismic inversion. Stochastic seismic inversion …
Deep physics-aware stochastic seismic inversion
Seismic inversion allows the prediction of subsurface properties from seismic reflection data
and is a key step in reservoir modeling and characterization. With the generalization of …
and is a key step in reservoir modeling and characterization. With the generalization of …
Beyond the roofline: Cache-aware power and energy-efficiency modeling for multi-cores
To foster the energy-efficiency in current and future multi-core processors, the benefits and
trade-offs of a large set of optimization solutions must be evaluated. For this purpose, it is …
trade-offs of a large set of optimization solutions must be evaluated. For this purpose, it is …
Stochastic seismic inversion based on an improved local gradual deformation method
X Yang, P Zhu - Computers & Geosciences, 2017 - Elsevier
A new stochastic seismic inversion method based on the local gradual deformation method
is proposed, which can incorporate seismic data, well data, geology and their spatial …
is proposed, which can incorporate seismic data, well data, geology and their spatial …
Fast geostatistical seismic inversion coupling machine learning and Fourier decomposition
Geostatistical seismic inversion uses stochastic sequential simulation and co-simulation as
techniques to generate and perturb subsurface elastic models. These steps are …
techniques to generate and perturb subsurface elastic models. These steps are …
Adaptively accelerating FWM2DA seismic modelling program on multi-core CPU and GPU architectures
This paper presents work done towards porting of FWM2DA, an open source program, on
multi-core CPU and GPU architectures. FWM2DA is a Fortran90 sequential program which …
multi-core CPU and GPU architectures. FWM2DA is a Fortran90 sequential program which …