WebInverting seismic data jointly with a complementary data set can help overcome these difficulties and facilitate the construction of a common earth model. We considered the joint inversion of seismic first-arrival traveltimes and gravity data to recover causative slowness and density distributions. WebSeismic inversion is a process to obtain the spatial structure and physical properties of underground rock formations using surface acquired seismic data, constrained by known geological laws and drilling and logging data. The principle of seismic inversion based on deep learning is to learn the mapping between seismic data and rock properties by …
Seismic Velocity Modeling
Web14 de nov. de 2024 · The nonlinear inverse problem for seismic reflection data is solved in the acoustic approximation. The method is based on the generalized least‐squares … WebA Geologist with extensive years of hands-on experience in seismic interpretation, sequence stratigraphy, prospect evaluation, play fairway … shanghai ftz television culture investment
Deep-Learning Inversion of Seismic Data
WebGiven the initial three-dimensional distribution of water saturation and porosity and a well-log derived height-saturation-porosity function as an inversion constraint, synthetic … Web17 de set. de 2014 · A broad meaning of seismic inversion — commonly referred to as elastic inversion, is the grand scheme of estimating elastic parameters directly from … Webirrespective of any inversion algorithm. compensate for the missing band of the seismic data. The seismic data is bandlimited, it lacks the low frequencies that are essential for relative to absolute property conversion. Bandlimited nature of seismic would also mean that it is relative with respect to some absolute trend. The seismic data is ... shanghai fubei pet food co. ltd