Joint Hydrological–Geophysical Inversion for Soil Structure Identification
نویسندگان
چکیده
منابع مشابه
Joint Hydrological-geophysical Inversion for Soil Structure Identification
Reliable prediction of subsurface flow and contaminant transport depends on the accuracy with which the values and spatial distribution of process-relevant model parameters can be identified. Successful characterization methods for complex soil systems are based on (1) an adequate parameterization of the subsurface, capable of capturing both random and structured aspects of the heterogeneous sy...
متن کاملAquifer structure identification using stochastic inversion
[1] This study presents a stochastic inverse method for aquifer structure identification using sparse geophysical and hydraulic response data. The method is based on updating structure parameters from a transition probability model to iteratively modify the aquifer structure and parameter zonation. The method is extended to the adaptive parameterization of facies hydraulic parameters by includi...
متن کاملAn Image Analysis Algorithm for Soil Structure Identification
Pore space study has been utilized as a general method for defining soil structures. This is because the characteristics particular to pore space impact the majority of physical and physicochemical soil parameters relevant due to plant growth. This paper presents an image segmentation approach for detecting the soil pore structures that have been studied by way of soil tomography sections. In s...
متن کاملJoint Case Argument Identification for Japanese Predicate Argument Structure Analysis
Existing methods for Japanese predicate argument structure (PAS) analysis identify case arguments of each predicate without considering interactions between the target PAS and others in a sentence. However, the argument structures of the predicates in a sentence are semantically related to each other. This paper proposes new methods for Japanese PAS analysis to jointly identify case arguments o...
متن کاملJoint Bayesian Stochastic Inversion of Well Logs and Seismic Data for Volumetric Uncertainty Analysis
Here in, an application of a new seismic inversion algorithm in one of Iran’s oilfields is described. Stochastic (geostatistical) seismic inversion, as a complementary method to deterministic inversion, is perceived as contribution combination of geostatistics and seismic inversion algorithm. This method integrates information from different data sources with different scales, as prior informat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Vadose Zone Journal
سال: 2008
ISSN: 1539-1663,1539-1663
DOI: 10.2136/vzj2006.0078