A5101518445- Seismic Imaging and Inversion Techniques
- Hydrocarbon exploration and reservoir analysis
- Marine and coastal ecosystems
- Drilling and Well Engineering
- Microbial Community Ecology and Physiology
- Hydraulic Fracturing and Reservoir Analysis
- Groundwater flow and contamination studies
- Seismic Waves and Analysis
- Groundwater and Isotope Geochemistry
- Medical Imaging Techniques and Applications
- Geological and Geochemical Analysis
- Target Tracking and Data Fusion in Sensor Networks
- Marine Biology and Ecology Research
- Spectroscopy and Chemometric Analyses
- Climate change and permafrost
- Image and Object Detection Techniques
- Sparse and Compressive Sensing Techniques
- Geochemistry and Elemental Analysis
- Aquatic Ecosystems and Phytoplankton Dynamics
- Paleontology and Stratigraphy of Fossils
- Remote Sensing and Land Use
- Reservoir Engineering and Simulation Methods
- Hydrology and Watershed Management Studies
- Blind Source Separation Techniques
- Geological formations and processes
Institute of Geochemistry
2023-2024
Nanjing Institute of Geography and Limnology
2024
Chinese Academy of Sciences
2024
University of Chinese Academy of Sciences
2023-2024
Shandong Academy of Environmental Science
2023
Sinopec (China)
2019
Halliburton (United Kingdom)
2013-2016
Screen
2006-2008
The largest groundwater funnel area is located in the North China Plain (NCP) due to long-term and large-scale overexploitation of from 1970s. Comprehensive control management measures have been implemented both national-scale local-scale since 2015. This paper presented evolution hydrochemical characteristics its mechanism before (2014) during artificial governance (2015–2020) center NCP funnels (Hengshui City) based on water level, chemical (including concentrations K+, Na+, Ca2+, Mg2+,...
Abstract Lakes are hotspots for the biogeochemical processing of carbon, including dissolved organic matter (DOM). A less degradable fraction DOM, preserved a long time, can be categorized as recalcitrant DOM (RDOM). Lake RDOM is an important but neglected carbon sink, and its characteristics transformation processes remain largely unknown.
Sensitivity-kernel-based tomographic migration velocity analysis (TMVA) provides a means to better update the model in complex media. For actual seismic data with finite-frequency bandwidth, updated from wave-equation-based tomography is more suitable and robust than ray-based for images obtained reverse time (RTM). Depth residuals RTM-extracted angle-image gathers offer reliable source of information. We have developed cost-effective calculating angle-domain sensitivity kernel incorporated...
Residual migration‐velocity analysis (RMVA) has become a popular tool to estimate the interval velocity model by using postmigrated seismic information. The common angle imaging (CAI) framework provides an efficient way for RMVA. In this paper, we incorporate structural dip information into RMVA and establish exact equations in depth‐offset ray parameter domain. This new method extends capability of 1‐D update based on measured residual moveout CAI gathers. synthetic examples show...
Tomographic migration‐velocity analysis (TMVA) allows to reconstruct the macro‐model of complex geological structures. The common angle imaging (CAI) framework provides an efficient way for TMVA. In this paper, we present a new approach tomographic in form residual‐curvature under CAI framework. This method extends capability residual (RMVA) based on vertical update from measured moveout gathers. Examples synthetic dataset and real show significant improvement velocity updating with method.
This paper discusses a three-dimensional (3D) automatic grid-based tomographic migration velocity analysis approach, which does not require the manual picking of geological horizons in depth image volumes and residual moveouts migrated common gathers. A structure tensor is useful tool for estimating local dip azimuth information, can be used as constraint calculation Fréchet derivatives inversion. Two key components this approach are described paper. synthetic example 3D SEAM model shows...
Wave equation tomography offers a way to better update the migration velocity model in complex media. For real seismic data with finite frequency bandwidth, updated from wave is more suitable and robust for advanced RTM. Meantime, RTM angle image gathers can provide nice moveouts incorrect reliable updating. In this paper, we present approach updating through angle-domain sensitivity kernels. We propose cost-effective calculate domain These kernels are used convert depth residuals into...
Semblance-based residual moveout (RMO) analysis of P-wave data provides a robust and efficient means to estimate the anisotropy parameter in vertical transverse isotropy (VTI) media. In this paper, semblance-based approach is developed anellipticity η depth domain using common image gathers (CIG) generated by an isotropic migration with preferred velocity inverted from analysis. An analytical RMO function derived measure residuals depth-migrated CIG without weak assumption. The semblance can...
Seismic anisotropy needs to be considered for velocity updating obtain a more accurate subsurface image. Sensitivity kernel-based tomography can provide better means the migration model in complex media. Depth residuals reverse time (RTM) angle image gathers are reliable updating. This paper presents an approach sensitivity using RTM vertical transversely isotropy (VTI) An approximate analytical residual moveout function is developed measuring depth of gather VTI media and workflow proposed...
Prestack basis pursuit AVA inversion that is developed to obtain sparse elastic reflectivities provides a means improve accuracy and resolution of subsurface layer properties for interpretation. To overcome the ill-posed problem, constraints have been introduced stabilize process avoid meaningless solutions. Inappropriate use into will compromise result. In this paper, we propose new approach incorporate background trends objective function reduce nonuniqueness solutions enhance stability...
Seismic derivable elastic attributes, e.g., impedance, lambda-rho, mu-rho, and Poisson impedance (PI), are routinely being used for reservoir characterization practice. These attributes could be derived from inverted [Formula: see text], density, usually indicate high sensitivity to lithology fluid. Due the of such errors or measurement noise associated with acquisition, processing, inversion prestack seismic data will propagate through products, lead even larger in computed attributes. To...