摘要
水力喷砂压裂是定向射孔、压裂联作的一种复合技术,它具有:效率高、适用范围宽、低成本的优点。其中喷砂喷嘴是喷射的关键部件,它承受着支撑剂的高速冲刷,需要具有超高硬度、高耐磨性特性,工艺复杂、制造难度大。本文利用人工智能启发式搜索技术对喷嘴研制影响因素进行搜索与解析,建立了喷嘴研制影响因素模型,并通过知识判断策略及推理机制优选出喷嘴结构、材料组分、烧结工艺等影响喷嘴配方及工艺参数,最终提出用于水力喷砂压裂的喷嘴优化设计方案。通过井下实验证明在过砂量大的情况下,研制的喷嘴耐磨性能够达到要求。本文探索出了云计算下的多源新型专家系统,为复杂问题的求解提供了一种高效可靠的方法。
Hydrajet fracturing is a composite technique combining directional perforation and fracturing, and it has advantages,high efficiency,wide application and low cost.The sand jet nozzle is the key component,suffering high speed proppant scouring,need to have characters of ultrahigh hardness and high wear resistance,and is complex in process and difficult in manufacture.This article uses artificial intelligence heuristic search technique to search and analysis the influence factors of nozzle design and manufacture, established the model of in- fluencing factors,by the means of knowledge judgment strategy and reasoning mechanism, optimized selected the nozzle influencing formula and process parameters as nozzle structure, material composition,sintering process, etc.,and finally put forward the optimal design scheme of nozzle for hydrajet fracturing.The downhole experiments proved that,in the case of large sand amount,the wear resistance of the spray nozzle designed can meet the requirements. This article explored a new multi-source expert system based on cloud computing, and provides an efficient and reliable method to solve complex problems.
出处
《石油化工应用》
CAS
2015年第4期18-20,共3页
Petrochemical Industry Application
基金
陕西省科学技术发展计划项目
项目编号:2014K08-27
关键词
水力喷砂压裂
喷嘴
人工智能
云计算
专家系统
hydrajet fracturing
nozzle
artificial intelligence
cloud computing
expert system
