China's old oilfields have a great potential for the remaining oil resources though they came under a stage of high water cut and high recovery degree following many years of production.It is difficult for sustainably economic and effective development.However,those old oilfields are still the main battlefields of the nation's oil development and continue to play a decisive role in securing China's oil supply.To keep the production of the old oilfields stable faced the challenges in four areas--inadequate stand-by resources deterioration of resources,difficulties for recovery caused by complicated geological conditions,poor economic properties but high requirements on engineering technology,and difficulties for large-scale replacement in the new areas and the new fields.The typical old oilfields adopted a series of countermeasures,such as iteration and modernization of EOR technology,fine reservoir characterization for optimization of the development plan,improving performance for increase in reserves and acceleration of productivity construction,and opening up the new battlefield of shale oil for expansion of the new field.This article analyzes seven typical old oilfields of Daqing,Changqing,Xinjiang,Shengli,Northwest,Bohai and Yanchang.It concludes that China has the clear objectives and applicable conditions for increasing the reserves and keeping the production stable at the old oilfields.The production can be hopefully kept stable for a relatively long period of time in spite of the difficulties.To further tap the resources potential of the old oilfields,it is proposed to strengthen the efforts for restructuring of the oil resources management system,focus on execution of the large-scale projects of increasing reserves and keeping production stable,enhance innovation of key technology and equipment,and perfect the preferential policies on exploration and development of oil and gas resources.
关键词
老油田/稳产形势/增储上产/挑战/前景展望
Key words
old oilfields/situation for stable production/increase of reserves and production/challenges/prospects
维普
万方数据