Research on Cascading Use of Waste Heat Technical Program in Heavy Oil Exploitation by SAGD Technology

AbstractIn Du 84 block Shu 1 area in Liaohe oilfield where used SAGD technology to exploit heavy oil, the temperature of wellhead produced fluid can reach up to 170-180°C, In view of this problem of wasting large amount of thermal energy, this paper proposes a set of technical program of cascading use of waste heat with the combination of generation of electrical energy and heating. Meanwhile, the generating capacity and heating area of the program as well as its economic efficiency are also calculated and analyzed. In addition, the parameters of generating system's condenser are optimized by taking the annual total cost of the condenser as the objective function and using majorized function fminsearch in MATLAB software, and the most superior technical parameters are determined. The result can offer some reference in using of waste heat in practical project

Possible Molecular Structure of the Newly Observed Y(4260)

We suggest that the newly observed resonance Y(4260) is a $\chi_{c}-\rho^0$ molecule, which is an isovector. In this picture, we can easily interpret why $Y(4260)\to \pi^+\pi^-J/\psi$ has a larger rate than $Y(4260)\to D\bar D$ which has not been observed, and we also predict existence of the other two components of the isotriplet and another two possible partner states which may be observed in the future experiments. A direct consequence of this structure is that for this molecular structure $Y(4260)\to \pi^+\pi^-J/\psi$ mode is more favorable than $Y(4260)\to K\bar KJ/\psi$ which may have a larger fraction if other proposed structures prevail.Comment: 5 pages, 2 figures. Some descriptions changed, more references added and typos corrected. Published version in PR

Resolving Galactic binaries in LISA data using particle swarm optimization and cross-validation

The space-based gravitational wave detector Laser Interferometric Space Antenna is expected to observe signals from a large population of compact object binaries, comprised predominantly of white dwarfs, in the Milky Way. Resolving individual sources from this population against its self-generated confusion noise poses a major data analysis problem. We present an iterative source estimation and subtraction method to address this problem based on the use of particle swarm optimization (PSO). In addition to PSO, a novel feature of the method is the cross-validation of sources estimated from the same data using different signal parameter search ranges. This is found to greatly reduce contamination by spurious sources and may prove to be a useful addition to any multisource resolution method. Applied to a recent mock data challenge, the method is able to find O(104) Galactic binaries across a signal frequency range of [0.1, 15] mHz and, for frequency ≳4  mHz, reduces the residual data after subtracting out estimated signals to the instrumental noise level