Study on artificial neural network method for calculation of subsidence coefficient;

On the basis of measured data and systematic analysis of subsidence influencing factors, the calculation model of subsidence coefficient in mining area is established by artificial neural network(ANN) technology and the network model is trained and tested by the spot data.

Based on this, the calculation formula of subsidence coefficient on the surface and strata subsidence in the first mining is obtained.

Based on comprehensive analysis of the main factors influencing subsidence, the model to calculate subsidence factor in strip mining was set up according to the theory of artificial neural network (ANN).

Based on practical data of Chensilou Mine,the subsidence regularity about Yongxia mine area and found the specific reason which increased the subsidence factor is analyzed.

The prediction of ground residual subsidence is the basis of anti-deformation structure design for newly-built construction over abandoned golfs.

Study of the Coefficient of Resistance and Residual Resistance Factor of Hydrophobically Associating Polymer in Series Core;

The result obtained by means of single core flow experiment indicated that the favorable sealing characteristics and residual resistance factor were gained in high,middle,and low permeability core with the new silica gel plugging agent.

The relationships among gel strength,injection pressure,drag coefficient and residual resistance factor of water flooding vs.

The results show that the molecular form and particle composition in the solution change with the increase of salinity, which is the main cause of higher measured results, static adsorption and residual drag coefficient of AMPS .