In this paper, according to the detailed literature research, the theory basis and practice, summarizes the reasonable completion and production prediction model for the future of the reservoir development, has some reference value. Study of the geological factors, seepage characteristics, capacity analysis model and open-hole completion, open-hole gravel completion, slotted liner completion, perforation completion, perforation gravel pack completion ECP downhole completion and the advantages and disadvantages of the reservoir adaptability, analysis of reservoir geological factors, in the production process of wellbore stability, sand forecast and judge (in the best completion method and the maximum capacity of the target, and puts forward the corresponding measures to prevent sand production), engineering construction, puts forward the principles and process optimization of completion modes. The present two categories namely sandstone reservoir and reservoir carbonate reservoir to optimize the process. Study on sand production reservoir with bottom water and have specific characteristics, analyzed the influence factors of well completion method.Through the steady-state (reservoir seepage in any point of the pressure does not change with time) of the horizontal well productivity formula. Usually the actual reservoir is not under steady-state conditions of production, but as a result of simple and easy credit, steady-state solution is still widely used. Through the steady-state productivity research to corrected Xiong Youming, Pan Yingde gets the productivity formula. Steady seepage flow and bottom water reservoir by using the mathematical analysis is the end function water, gas, gas cap and bottom water have the formula for productivity calculation of horizontal wells. The rational position and the length of horizontal section, through the stratum situation and production model for the prediction of the corresponding production capacity, and to select the most appropriate and actual mining technology.Compared with the single well, the branch well can be increased by the communicating pipe can increase the number of reservoir oil to improve yield, so will the3D spatial analysis is divided into two two-dimensional and draws the lateral well deliverability formula. Through the capacity calculation formula of type in the analysis of influencing factors of horizontal well productivity influence factors that influence on productivity. In addition to the branch horizontal well capacity influence factors analysis and evaluation.Applying the above theories and ideas, using computer language to make the corresponding completion optimization software and actual field optimization of completion and productivity prediction, finally through the analysis and comparison, some valuable conclusions are obtained:(1) the horizontal well completion technology in horizontal well technology is a very important link, horizontal well completion and productivity evaluation of determination, is directly related to the future production of horizontal well in well. Therefore, the optimization of completion for horizontal well, deliverability evaluation has important significance;(2) the productivity formula of capacity influencing factor to undertake an analysis, make a reasonable opinion, finally obtains the reasonable position of reasonable length of horizontal well and numerical.(3) studied the sandstone reservoir sand production mechanism and sand prevention method, loose sandstone horizontal well sand prevention method provides some theoretical foundation.(4) the productivity formula ofβh/L and total skin factor S product to replace the original S, make productivity prediction in three can embody the effect on productivity, accord with the actual production.(5) when the length of horizontal section must, each increase in horizontal well of a branch number, gain capacity increment rapidly reduced, actually must optimize well length and branch number.(6) developed the methods of horizontal well completion and production evaluation software, production mode selection and productivity evaluation results, given the field appropriate recommendations. |