Seismic fluid identification using a nonlinear elastic impedance inversion method based on a fast Markov chain Monte Carlo method

Elastic impedance inversion with high efficiency and high stability has become one of the main directions of seismic pre-stack inversion. The nonlinear elastic impedance inversion method based on a fast Markov chain Monte Carlo （MCMC） method is proposed in this paper, combining conventional MCMC method based on global optimization with a preconditioned conjugate gradient （PCG） algorithm based on local optimization, so this method does not depend strongly on the initial model. It converges to the global optimum quickly and efficiently on the condition that effi- ciency and stability of inversion are both taken into consid- eration at the same time. The test data verify the feasibility and robustness of the method, and based on this method, we extract the effective pore-fluid bulk modulus, which is applied to reservoir fluid identification and detection, and consequently, a better result has been achieved.

Topological Catenation Enhances Elastic Modulus of Single Linear Polycatenane

Entropic elasticity of single chains underlies many fundamental aspects of mechanical properties of polymers,such as high elasticity of polymer networks and viscoelasticity of polymer liquids.On the other hand,single chain elasticity is further rooted in chain connectivity.Recently,mechanically interlocked polymers,including polycatenanes and polyrotaxanes,which are formed by connecting their building blocks(cyclic and linear chains)through topological bonds(e.g.,entanglements),emerge as a conceptually new kind of polymers.In this work,we employ computer simulations to study linear elasticity of single linear polycatenane(or[n]catenane),in which n rings are interlocked through catenation into a chain of linear architecture.Aim of this work is to illuminate the specific role of catenation topology in the elastic moduli of linear polycatenanes by comparing with those of their[n]bonded-ring counterparts,which are formed by connecting the same number of rings but via covalent bonds.Simulation results lead to a conclusion that topological catenation makes[n]catenanes exhibit larger elastic moduli than their linear and[n]bonded-ring counterparts,i.e.,larger elastic moduli in the case of[n]catenanes.Furthermore,it is revealed that those[n]catenanes composed of a smaller number of rings(smaller n)possesses larger elastic moduli than others of the same total chain lengths.Molecular mechanisms of these findings are discussed based on conformational entropy due to topological constraints.

DLM/FD SIMULATION OF CHANNEL FLOW WITH FENE POLYMER CHAIN SUSPENSION

Distributed Lagrange Multiplier/Fictitious Domain （DLM/FD） method was employed to simulate the channel flow with polymer suspension. The polymer molecules were modeled as Finitely Extensible Nonlinear Elastic （FENE） chains and FENE chain cluster. The coiled stretched transition of FENE chains was examined and the change in configuration of FENE chains was presented. The average velocity profile of the fully developed channel flow with 64 FENE chains was given and fitted well with the power-law curve. The change of chain cluster configuration was also simulated. These simulations show that DLM/FD method is capable of simulating the motion of not only FENE chain, but also FENE chain cluster.