Hepatitis B virus （HBV）-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potent...Hepatitis B virus （HBV）-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potential of using metabolites as biomarkers for liver failure by identifying metabolites with good discriminative performance for its phenotype. The serum samples from 24 HBV-indueed liver failure patients and 23 healthy volunteers were collected and analyzed by gas chromatography-mass spectrometry （GC-MS） to generate metabolite profiles. The 24 patients were further grouped into two classes according to the severity of liver failure. Twenty-five eommensal peaks in all metabolite profiles were extracted, and the relative area values of these peaks were used as features for each sample. Three algorithms, F-test, k-nearest neighbor （KNN） and fuzzy support vector machine （FSVM） combined with exhaustive search （ES）, were employed to identify a subset of metabolites （biomarkers） that best predict liver failure. Based on the achieved experimental dataset, 93.62% predictive accuracy by 6 features was selected with FSVM-ES and three key metabolites, glyeerie acid, cis-aeonitie acid and citric acid, are identified as potential diagnostic biomarkers.展开更多
Affected by reservoir heterogeneity,developed natural fractures,and bedding fractures,the fracturing pressure curves in fracturing of shale gas horizontal wells present complex shapes.A large amount of information con...Affected by reservoir heterogeneity,developed natural fractures,and bedding fractures,the fracturing pressure curves in fracturing of shale gas horizontal wells present complex shapes.A large amount of information contained in the fracturing curves is still not fully excavated.Based on the theory of shale gas fracture network fracturing,the calculation model of bottom hole net pressure is established by integrating the real-time data such as casing pressure,pump rate,and proppant concentration.Net pressure slope and net pressure index are constructed as key parameters,and the net pressure curve is divided dynamically to describe the mechanical conditions corresponding to the fracture propagation behavior during the fracturing process.Six fracture propagation modes were identified,including fracture network propagation,fracture propagation blockage,normal fracture propagation,fracture propagation long bedding,fracture height growth,and rapidfluidfiltration,and then the operation pressure curve diagnosis and identification method were formed for shale gas fracture network fracturing in horizontal wells.The shortcomings of conventional operation curve diagnosis and identification methods are abandoned and the fracture network complexity index is presented.The higher index indicates more time of fracture network propagation and fracture propagation along bedding and the better reservoir stimulation effect.The model is applied to shale gas wells in the southeastern margin of Sichuan Basin,and the average fracture network complexity index of a single well is 0.3,which is in good agreement with the microseismic monitoring results.This proves the good reliability of the method developed.The method is helpful to improve the potential and level of fracturing stimulation of shale reservoirs and is of great significance for improving the post-fracturing evaluation technology of fracture network and guiding the real-time dynamic adjustment offield fracturing operations.展开更多
基金Project supported by the Postdoctoral Science Foundation of China(No.20070410397)the National Natural Science Foundation of China(No.60705002)the Science and Technology Project of Zhejiang Province,China(No.2005C13026)
文摘Hepatitis B virus （HBV）-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potential of using metabolites as biomarkers for liver failure by identifying metabolites with good discriminative performance for its phenotype. The serum samples from 24 HBV-indueed liver failure patients and 23 healthy volunteers were collected and analyzed by gas chromatography-mass spectrometry （GC-MS） to generate metabolite profiles. The 24 patients were further grouped into two classes according to the severity of liver failure. Twenty-five eommensal peaks in all metabolite profiles were extracted, and the relative area values of these peaks were used as features for each sample. Three algorithms, F-test, k-nearest neighbor （KNN） and fuzzy support vector machine （FSVM） combined with exhaustive search （ES）, were employed to identify a subset of metabolites （biomarkers） that best predict liver failure. Based on the achieved experimental dataset, 93.62% predictive accuracy by 6 features was selected with FSVM-ES and three key metabolites, glyeerie acid, cis-aeonitie acid and citric acid, are identified as potential diagnostic biomarkers.
基金National Natural Science Foundation of China Basic The ory of Efficient Development of Shale Oil and Gas(No.51490653)Theory and Method of Efficient Construction of Fracture Network in Deep and Ultra-Deep Shale Gas Horizontal Wells(No.U19A2043)Theory and Method of Long-term Propping for Deep Shale Gas Hydraulic Fractures based on DEM-LBM Hydro-Mechanical Coupling(No.52104039).
文摘Affected by reservoir heterogeneity,developed natural fractures,and bedding fractures,the fracturing pressure curves in fracturing of shale gas horizontal wells present complex shapes.A large amount of information contained in the fracturing curves is still not fully excavated.Based on the theory of shale gas fracture network fracturing,the calculation model of bottom hole net pressure is established by integrating the real-time data such as casing pressure,pump rate,and proppant concentration.Net pressure slope and net pressure index are constructed as key parameters,and the net pressure curve is divided dynamically to describe the mechanical conditions corresponding to the fracture propagation behavior during the fracturing process.Six fracture propagation modes were identified,including fracture network propagation,fracture propagation blockage,normal fracture propagation,fracture propagation long bedding,fracture height growth,and rapidfluidfiltration,and then the operation pressure curve diagnosis and identification method were formed for shale gas fracture network fracturing in horizontal wells.The shortcomings of conventional operation curve diagnosis and identification methods are abandoned and the fracture network complexity index is presented.The higher index indicates more time of fracture network propagation and fracture propagation along bedding and the better reservoir stimulation effect.The model is applied to shale gas wells in the southeastern margin of Sichuan Basin,and the average fracture network complexity index of a single well is 0.3,which is in good agreement with the microseismic monitoring results.This proves the good reliability of the method developed.The method is helpful to improve the potential and level of fracturing stimulation of shale reservoirs and is of great significance for improving the post-fracturing evaluation technology of fracture network and guiding the real-time dynamic adjustment offield fracturing operations.
