Pointing to the problem that slam well logging system cannot realize rapid and real-time acquisition of large volume data under the limit of transmitting bandwidth of logging cable at present, a down-hole telemetry transmitting sub dedicated to slam logging is designed in this paper. Based on the correlation analysis of sampling data, depth aligned two dimensional data array is formed by up-loaded data frames buffering according to sampling time from different tools in combination of slam logging. According to image lossless compression theory, adaptive predicting model based on CALIC algorithm are utilized to up load data array after lossless compression by hardware circuit design and embedding programming development. Simulation experimental result is that data compression ratio is improved by about 30% compared with current mainstream compression method-LZW on actual data of slam logging from 4 wells of SL oilfield. Application testing result is that efficiency of new slam logging is improved by about 22% on actual slam logging operations of 5 wells from SL oilfield. Result shows that efficiency is greatly improved by new hardware design and data compression and transmitting algorithm which realizes high-speed data acquisition and insures huge economical advantage of slam logging in saving the cost of exploring and developing oilfields.