摘要
水平井地质导向技术根据邻井或导眼井已钻资料开展空间建模过程中,通过将井眼轨迹的反演虚拟曲线和实钻曲线进行匹配拟合来调整模型,进而实现地层倾角的估算和验证,但地层稳定程度以及标准井离对比点的位置远近都会影响对比的效果。基于自洽迭代算法提出同层上行和下行曲线相互对比自匹配的方法,通过历史穿层曲线建立标准曲线,并在随钻过程中不断利用最新、最近的曲线数据与经过真垂校正后相应位置的曲线进行自洽迭代实时更新,拾取最接近对比点的地层特征来优化地质空间模型,从而实现最优化自对比地质导向的效果。随钻过程中采用标准曲线自洽迭代自更新技术,可利用正钻井动态数据建立一套井轨实时自对比标准,如果轨迹设计合理,完全可以取代导眼井的功能,实现无导眼井的实时自对比导向。
The horizontal well geosteering technology needs to perform spatial modeling based on the drilled data of offset wells or pilot wells. The model is adjusted by matching and fitting the inversion virtual curve and the drilled curve of the well path to achieve the estimation and verification of stratigraphic dip. However, the formation stability and the distance between standard well and contrast point will affect comparison effect. Based on self-consistent iterative algorithm, a method comparing and self-matching the upgoing and downgoing curves of the same layer was proposed. The standard curve was established by history transformational curves. During the drilling process, the newest and last curve data and the curve at the corresponding position corrected by true vertical depth are continuously used to perform self-consistent iterative real-time updates, the formation characteristics closest to the contrast point are picked up to optimize the geologic space model, so as to achieve the optimal self-contrast geosteering effect. The standard curve self-consistent iterative self-update technology is adopted in the drilling process, and a set of real-time self-contrast standards for well path were established by using the dynamic data of drilling. If the well path design is reasonable, it can completely replace the function of pilot well and realize the real-time self-contrast geosteering of non-pilot wells.
作者
刘俊
邢立
LIU Jun;XING Li(Beijing Shihengda Technology Company Limited,Beijing 100083,China;Exploration and Production Branch of PetroChina Company Limited,Beijing 100011,China)
出处
《录井工程》
2020年第1期22-27,共6页
Mud Logging Engineering
关键词
水平井
自洽迭代
空间建模
自对比导向
horizontal well
self-consistent iterative
spatial modeling
self-contrast geosteering