Inversion of Young’s modulus,Poisson’s ratio and density from pre-stack seismic data has been proved to be feasible and effective.However,the existing methods do not take full advantage of the prior information.With...Inversion of Young’s modulus,Poisson’s ratio and density from pre-stack seismic data has been proved to be feasible and effective.However,the existing methods do not take full advantage of the prior information.Without considering the lateral continuity of the inversion results,these methods need to invert the reflectivity first.In this paper,we propose multi-gather simultaneous inversion for pre-stack seismic data.Meanwhile,the total variation（TV）regularization,L1 norm regularization and initial model constraint are used.In order to solve the objective function contains L1norm,TV norm and L2 norm,we develop an algorithm based on split Bregman iteration.The main advantages of our method are as follows：（1）The elastic parameters are calculated directly from objective function rather than from their reflectivity,therefore the stability and accuracy of the inversion process can be ensured.（2）The inversion results are more in accordance with the prior geological information.（3）The lateral continuity of the inversion results are improved.The proposed method is illustrated by theoretical model data and experimented with a 2-D field data.展开更多
As a potential resource for emerging clean energy with abundant reserves,coalbed methane(CBM)has risen rapidly in recent years,and the construction of rational and economical CBM gathering system plays a vital role in...As a potential resource for emerging clean energy with abundant reserves,coalbed methane(CBM)has risen rapidly in recent years,and the construction of rational and economical CBM gathering system plays a vital role in the development of the oil and gas industry.At present,there is no literature that considers the optimization of the multi-gathering mode of coalbed methane pipe network system.Due to the complexity and high investment,this paper establishes a unified mixed-integer nonlinear programming model to determine the gathering modes(including liquified natural gas,compressed natural gas,and gas gathering station)of gathering system to reduce the cost of coalbed methane collection and export.The objective function is the maximization of total profit during the period of the whole project,and such constraints,like network structure,facility number,location,node flow balance,capacity and variable value,are taken into consideration.The solution strategy and heuristic algorithm is proposed and verified by the field data from Shanxi province(China).The results show that the model can solve the problem for optimization design of the surface system in complicated CBM fields.展开更多
基金supported by the National Natural Science Foundation of China (Nos.61775030,61571096,41301460,61362018,and 41274127)the key projects of Hunan Provincial Department of Education (No.16A174)
文摘Inversion of Young’s modulus,Poisson’s ratio and density from pre-stack seismic data has been proved to be feasible and effective.However,the existing methods do not take full advantage of the prior information.Without considering the lateral continuity of the inversion results,these methods need to invert the reflectivity first.In this paper,we propose multi-gather simultaneous inversion for pre-stack seismic data.Meanwhile,the total variation（TV）regularization,L1 norm regularization and initial model constraint are used.In order to solve the objective function contains L1norm,TV norm and L2 norm,we develop an algorithm based on split Bregman iteration.The main advantages of our method are as follows：（1）The elastic parameters are calculated directly from objective function rather than from their reflectivity,therefore the stability and accuracy of the inversion process can be ensured.（2）The inversion results are more in accordance with the prior geological information.（3）The lateral continuity of the inversion results are improved.The proposed method is illustrated by theoretical model data and experimented with a 2-D field data.
基金This work was part of the program“Study on the optimization method and architecture of oil and gas pipeline network design in discrete space and network space”,funded by the National Natural Science Foundation of China,grant number 51704253.
文摘As a potential resource for emerging clean energy with abundant reserves,coalbed methane(CBM)has risen rapidly in recent years,and the construction of rational and economical CBM gathering system plays a vital role in the development of the oil and gas industry.At present,there is no literature that considers the optimization of the multi-gathering mode of coalbed methane pipe network system.Due to the complexity and high investment,this paper establishes a unified mixed-integer nonlinear programming model to determine the gathering modes(including liquified natural gas,compressed natural gas,and gas gathering station)of gathering system to reduce the cost of coalbed methane collection and export.The objective function is the maximization of total profit during the period of the whole project,and such constraints,like network structure,facility number,location,node flow balance,capacity and variable value,are taken into consideration.The solution strategy and heuristic algorithm is proposed and verified by the field data from Shanxi province(China).The results show that the model can solve the problem for optimization design of the surface system in complicated CBM fields.
