Seismic amplitude variation with offset(AVO)inversion is a cornerstone of oil and gas reservoir prediction,enabling the estimation of subsurface elastic parameters and characterization of stratigraphic interfaces.Howe...Seismic amplitude variation with offset(AVO)inversion is a cornerstone of oil and gas reservoir prediction,enabling the estimation of subsurface elastic parameters and characterization of stratigraphic interfaces.However,balancing inversion accuracy and computational efficiency remains a critical challenge.To address this,we propose a novel probabilistic AVO inversion framework integrating three key innovations.First,we derive a high-precision quadratic approximation for compressional(P-wave)reflectivity by retaining first-and second-order terms from the exact Zoeppritz equations through a perturbation strategy.This approach significantly enhances accuracy compared to conventional linear approximations,particularly in reflecting the true amplitude variation at large angles.Subsequently,to improve lateral continuity and stratigraphic resolution,we introduce an instantaneous phase constraint derived via the Hilbert transform.This constraint leverages phase sensitivity to seismic waveform coherence,ensuring geologically consistent interface characterization during stochastic inversion.Furthermore,we develop a hybrid Markov Chain Monte Carlo(MCMC)algorithm combining adaptive Gibbs sampling with the independent doubly adaptive rejection Metropolis sampling(IA2RMS)method.This framework efficiently samples high-dimensional posterior probability density functions(PDFs)of elastic pa rameters:Gibbs sampling gene rates adaptive proposal distributions,while IA2RMS accele rates Markov chain convergence through location-and scale-adjustable proposals.Numerical experiments and field seismic data demonstrate the robustness and feasibility of the proposed probabilistic AVO inversion method.展开更多
以氨基-1,2,4-三唑和2-偕二硝甲基-5-硝基四唑(HDNMNT)为原料,通过中和反应合成出两种新型含能离子盐——2-偕二硝甲基-5-硝基四唑3-氨基-1,2,4-三唑盐(3-ATDNMNT)和2-偕二硝甲基-5-硝基四唑4-氨基-1,2,4-三唑盐(4-ATDNMNT),收率分别为9...以氨基-1,2,4-三唑和2-偕二硝甲基-5-硝基四唑(HDNMNT)为原料,通过中和反应合成出两种新型含能离子盐——2-偕二硝甲基-5-硝基四唑3-氨基-1,2,4-三唑盐(3-ATDNMNT)和2-偕二硝甲基-5-硝基四唑4-氨基-1,2,4-三唑盐(4-ATDNMNT),收率分别为95.4%和96.7%;利用FT-IR、1 H NMR、13C NMR、15 N NMR及元素分析等方法对其结构进行表征;采用量子化学方法计算了3-ATDNMNT和4-ATDNMNT的爆轰性能;在标准状态下(膨胀比为70∶1),利用最小自由能原理,分别计算了两种离子盐在丁羟复合推进剂中的能量性能。结果表明,3-ATDNMNT的爆速和爆压分别为8.587km/s和33.58GPa,4-ATDNMNT的爆速和爆压分别为8.693km/s和34.31GPa。以3-ATDNMNT部分取代丁羟复合推进剂中的AP后,丁羟复合推进剂的理论比冲可达2 635.7N·s/kg。以4-ATDNMNT部分取代丁羟复合推进剂中的AP后,当HTPB、Al、AP及4-ATDNMNT各组分质量分数分别为10%、5%、15%及70%时,获得该丁羟复合推进剂的最高理论比冲为2 677.2N·s/kg。展开更多
基金supported in part by the Fund of State Key Laboratory of Deep Oil and Gas,China University of Petroleum(East China)under Grant SKLDOG2024-ZYTS-02in part by the National Natural Science Foundation of China under Grant42274157+1 种基金in part by the Fundamental Research Funds for the Central Universities under Grant 24CX07004Ain part by the CNPC Innovation Fund under Grant 2024DQ02-0505。
文摘Seismic amplitude variation with offset(AVO)inversion is a cornerstone of oil and gas reservoir prediction,enabling the estimation of subsurface elastic parameters and characterization of stratigraphic interfaces.However,balancing inversion accuracy and computational efficiency remains a critical challenge.To address this,we propose a novel probabilistic AVO inversion framework integrating three key innovations.First,we derive a high-precision quadratic approximation for compressional(P-wave)reflectivity by retaining first-and second-order terms from the exact Zoeppritz equations through a perturbation strategy.This approach significantly enhances accuracy compared to conventional linear approximations,particularly in reflecting the true amplitude variation at large angles.Subsequently,to improve lateral continuity and stratigraphic resolution,we introduce an instantaneous phase constraint derived via the Hilbert transform.This constraint leverages phase sensitivity to seismic waveform coherence,ensuring geologically consistent interface characterization during stochastic inversion.Furthermore,we develop a hybrid Markov Chain Monte Carlo(MCMC)algorithm combining adaptive Gibbs sampling with the independent doubly adaptive rejection Metropolis sampling(IA2RMS)method.This framework efficiently samples high-dimensional posterior probability density functions(PDFs)of elastic pa rameters:Gibbs sampling gene rates adaptive proposal distributions,while IA2RMS accele rates Markov chain convergence through location-and scale-adjustable proposals.Numerical experiments and field seismic data demonstrate the robustness and feasibility of the proposed probabilistic AVO inversion method.
文摘以氨基-1,2,4-三唑和2-偕二硝甲基-5-硝基四唑(HDNMNT)为原料,通过中和反应合成出两种新型含能离子盐——2-偕二硝甲基-5-硝基四唑3-氨基-1,2,4-三唑盐(3-ATDNMNT)和2-偕二硝甲基-5-硝基四唑4-氨基-1,2,4-三唑盐(4-ATDNMNT),收率分别为95.4%和96.7%;利用FT-IR、1 H NMR、13C NMR、15 N NMR及元素分析等方法对其结构进行表征;采用量子化学方法计算了3-ATDNMNT和4-ATDNMNT的爆轰性能;在标准状态下(膨胀比为70∶1),利用最小自由能原理,分别计算了两种离子盐在丁羟复合推进剂中的能量性能。结果表明,3-ATDNMNT的爆速和爆压分别为8.587km/s和33.58GPa,4-ATDNMNT的爆速和爆压分别为8.693km/s和34.31GPa。以3-ATDNMNT部分取代丁羟复合推进剂中的AP后,丁羟复合推进剂的理论比冲可达2 635.7N·s/kg。以4-ATDNMNT部分取代丁羟复合推进剂中的AP后,当HTPB、Al、AP及4-ATDNMNT各组分质量分数分别为10%、5%、15%及70%时,获得该丁羟复合推进剂的最高理论比冲为2 677.2N·s/kg。
