Permeability prediction using linear regression of porosity always has poor performance when the reservoir with complex pore structure and large variation of lithofacies.A new method is proposed to predict permeabilit...Permeability prediction using linear regression of porosity always has poor performance when the reservoir with complex pore structure and large variation of lithofacies.A new method is proposed to predict permeability by comprehensively considering pore structure,porosity and lithofacies.In this method,firstly,the lithofacies classification is carried out using the elastic parameters,porosity and shear frame flexibility factor.Then,for each lithofacies,the elastic parameters,porosity and shear frame flexibility factor are used to obtain permeability from regression.The permeability prediction test by logging data of the study area shows that the shear frame flexibility factor that characterizes the pore structure is more sensitive to permeability than the conventional elastic parameters,so it can predict permeability more accurately.In addition,the permeability prediction is depending on the precision of lithofacies classification,reliable lithofacies classification is the precondition of permeability prediction.The field data application verifies that the proposed permeability prediction method based on pore structure parameters and lithofacies is accurate and effective.This approach provides an effective tool for permeability prediction.展开更多
Regulation of technology has been a hot issue in the financial field in recent years.Traditional financial regulation is constructed by a centralized account system,which relies on ex-ante regulation.Embedded supervis...Regulation of technology has been a hot issue in the financial field in recent years.Traditional financial regulation is constructed by a centralized account system,which relies on ex-ante regulation.Embedded supervision,which relies on regulation during and after the matter,operates in a decentralized and trusted environment and has the characteristics of high efficiency,transparency,and safety.It provides a breakthrough to solve the lag of traditional financial supervision.This paper clarifies the concepts and theoretical basis of embedded supervision,constructs the embedded supervision model with a lag,and analyzes the feasibility of embedded supervision with a lag.This research can promote scientific exploration and method innovations in the domestic finance field,enrich China’s financial discipline system,and provide decision-making references for practical financial supervision innovation.展开更多
燃烧石油所产生的SO2可导致环境污染,为了有效地脱去原油中的硫,采用实验室驯化、富集得到的微生物作为专一脱硫菌株,对原油中含硫化合物二苯并噻吩(DBT)进行了脱硫研究。着重探讨了微生物驯化、富集培养体系,培养温度,摇床转数和微生...燃烧石油所产生的SO2可导致环境污染,为了有效地脱去原油中的硫,采用实验室驯化、富集得到的微生物作为专一脱硫菌株,对原油中含硫化合物二苯并噻吩(DBT)进行了脱硫研究。着重探讨了微生物驯化、富集培养体系,培养温度,摇床转数和微生物初始浓度等因素对生物催化脱硫效率的影响,并结合气相色谱-质谱联用仪(GC-MS)分析方法对氧化脱硫机理进行了探讨。结果表明:以甘油作为碳源、DBT作为唯一硫源的培养体系来驯化、富集得到的微生物,能够有效地将DBT上的硫脱下来。DBT的脱硫率随培养温度、摇床转速、生物接种量的变化而不同;随着培养温度、摇床转速的增加,脱硫效率先增加后降低;生物接种量越大,脱硫效率越高,直至平缓。生物催化脱硫反应条件优化为:温度25℃,摇床转速180 rpm,生物接种量3 m L,使DBT的脱硫率达到了95. 01%。微生物催化脱硫反应是通过4S途径将DBT转化成油溶性的2-羟基联苯(2-HBP)并释放出硫来,同时DBT原有的碳骨架得以保存完好,使得原油的热值不受影响。展开更多
基金Supported by the Youth Foundation of National Natural Science Foundation of China(41804126)Scientific Research and Technology Development Project of CNPC(2017D-3503,2018D-4407).
文摘Permeability prediction using linear regression of porosity always has poor performance when the reservoir with complex pore structure and large variation of lithofacies.A new method is proposed to predict permeability by comprehensively considering pore structure,porosity and lithofacies.In this method,firstly,the lithofacies classification is carried out using the elastic parameters,porosity and shear frame flexibility factor.Then,for each lithofacies,the elastic parameters,porosity and shear frame flexibility factor are used to obtain permeability from regression.The permeability prediction test by logging data of the study area shows that the shear frame flexibility factor that characterizes the pore structure is more sensitive to permeability than the conventional elastic parameters,so it can predict permeability more accurately.In addition,the permeability prediction is depending on the precision of lithofacies classification,reliable lithofacies classification is the precondition of permeability prediction.The field data application verifies that the proposed permeability prediction method based on pore structure parameters and lithofacies is accurate and effective.This approach provides an effective tool for permeability prediction.
文摘Regulation of technology has been a hot issue in the financial field in recent years.Traditional financial regulation is constructed by a centralized account system,which relies on ex-ante regulation.Embedded supervision,which relies on regulation during and after the matter,operates in a decentralized and trusted environment and has the characteristics of high efficiency,transparency,and safety.It provides a breakthrough to solve the lag of traditional financial supervision.This paper clarifies the concepts and theoretical basis of embedded supervision,constructs the embedded supervision model with a lag,and analyzes the feasibility of embedded supervision with a lag.This research can promote scientific exploration and method innovations in the domestic finance field,enrich China’s financial discipline system,and provide decision-making references for practical financial supervision innovation.
文摘燃烧石油所产生的SO2可导致环境污染,为了有效地脱去原油中的硫,采用实验室驯化、富集得到的微生物作为专一脱硫菌株,对原油中含硫化合物二苯并噻吩(DBT)进行了脱硫研究。着重探讨了微生物驯化、富集培养体系,培养温度,摇床转数和微生物初始浓度等因素对生物催化脱硫效率的影响,并结合气相色谱-质谱联用仪(GC-MS)分析方法对氧化脱硫机理进行了探讨。结果表明:以甘油作为碳源、DBT作为唯一硫源的培养体系来驯化、富集得到的微生物,能够有效地将DBT上的硫脱下来。DBT的脱硫率随培养温度、摇床转速、生物接种量的变化而不同;随着培养温度、摇床转速的增加,脱硫效率先增加后降低;生物接种量越大,脱硫效率越高,直至平缓。生物催化脱硫反应条件优化为:温度25℃,摇床转速180 rpm,生物接种量3 m L,使DBT的脱硫率达到了95. 01%。微生物催化脱硫反应是通过4S途径将DBT转化成油溶性的2-羟基联苯(2-HBP)并释放出硫来,同时DBT原有的碳骨架得以保存完好,使得原油的热值不受影响。
