Wired drill pipe（WDP）technology is one of the most promising data acquisition technologies in today s oil and gas industry.For the first time it allows sensors to be positioned along the drill string which enables c...Wired drill pipe（WDP）technology is one of the most promising data acquisition technologies in today s oil and gas industry.For the first time it allows sensors to be positioned along the drill string which enables collecting and transmitting valuable data not only from the bottom hole assembly（BHA）,but also along the entire length of the wellbore to the drill floor.The technology has received industry acceptance as a viable alternative to the typical logging while drilling（LWD）method.Recently more and more WDP applications can be found in the challenging drilling environments around the world,leading to many innovations to the industry.Nevertheless most of the data acquired from WDP can be noisy and in some circumstances of very poor quality.Diverse factors contribute to the poor data quality.Most common sources include mis-calibrated sensors,sensor drifting,errors during data transmission,or some abnormal conditions in the well,etc.The challenge of improving the data quality has attracted more and more focus from many researchers during the past decade.This paper has proposed a promising solution to address such challenge by making corrections of the raw WDP data and estimating unmeasurable parameters to reveal downhole behaviors.An advanced data processing method,data validation and reconciliation（DVR）has been employed,which makes use of the redundant data from multiple WDP sensors to filter/remove the noise from the measurements and ensures the coherence of all sensors and models.Moreover it has the ability to distinguish the accurate measurements from the inaccurate ones.In addition,the data with improved quality can be used for estimating some crucial parameters in the drilling process which are unmeasurable in the first place,hence provide better model calibrations for integrated well planning and realtime operations.展开更多
Costa[1]提出的WDP(writing on dirty paper)模型是一种系统中同时共存两个独立噪声源的功率受限通信系统,其中一个噪声源对发送端已知。一种基于最优脉冲位置调制(OPPM)的宽带WDP通信系统设计,发送脉冲的位置由对应符号时间中已知噪声...Costa[1]提出的WDP(writing on dirty paper)模型是一种系统中同时共存两个独立噪声源的功率受限通信系统,其中一个噪声源对发送端已知。一种基于最优脉冲位置调制(OPPM)的宽带WDP通信系统设计,发送脉冲的位置由对应符号时间中已知噪声的峰值位置确定,接收端则采用相关接收和最大幅度检测两种方法实现信号的解调。仿真结果表明,这一系统可以有效地利用已知噪声实现低信噪比条件下的可靠通信。Costa[1]提出的WDP(writing on dirty paper)模型是一种系统中同时共存两个独立噪声源的功率受限通信系统,其中一个噪声源对发送端已知。一种基于最优脉冲位置调制(OPPM)的宽带WDP通信系统设计,发送脉冲的位置由对应符号时间中已知噪声的峰值位置确定,接收端则采用相关接收和最大幅度检测两种方法实现信号的解调。仿真结果表明,这一系统可以有效地利用已知噪声实现低信噪比条件下的可靠通信。展开更多
基金supported by University of Stavanger, NorwaySINTEF,the Center for Integrated Operations in the Petroleum Industry and the management of National Oilwell Varco Intelli Serv
文摘Wired drill pipe（WDP）technology is one of the most promising data acquisition technologies in today s oil and gas industry.For the first time it allows sensors to be positioned along the drill string which enables collecting and transmitting valuable data not only from the bottom hole assembly（BHA）,but also along the entire length of the wellbore to the drill floor.The technology has received industry acceptance as a viable alternative to the typical logging while drilling（LWD）method.Recently more and more WDP applications can be found in the challenging drilling environments around the world,leading to many innovations to the industry.Nevertheless most of the data acquired from WDP can be noisy and in some circumstances of very poor quality.Diverse factors contribute to the poor data quality.Most common sources include mis-calibrated sensors,sensor drifting,errors during data transmission,or some abnormal conditions in the well,etc.The challenge of improving the data quality has attracted more and more focus from many researchers during the past decade.This paper has proposed a promising solution to address such challenge by making corrections of the raw WDP data and estimating unmeasurable parameters to reveal downhole behaviors.An advanced data processing method,data validation and reconciliation（DVR）has been employed,which makes use of the redundant data from multiple WDP sensors to filter/remove the noise from the measurements and ensures the coherence of all sensors and models.Moreover it has the ability to distinguish the accurate measurements from the inaccurate ones.In addition,the data with improved quality can be used for estimating some crucial parameters in the drilling process which are unmeasurable in the first place,hence provide better model calibrations for integrated well planning and realtime operations.
文摘Costa[1]提出的WDP(writing on dirty paper)模型是一种系统中同时共存两个独立噪声源的功率受限通信系统,其中一个噪声源对发送端已知。一种基于最优脉冲位置调制(OPPM)的宽带WDP通信系统设计,发送脉冲的位置由对应符号时间中已知噪声的峰值位置确定,接收端则采用相关接收和最大幅度检测两种方法实现信号的解调。仿真结果表明,这一系统可以有效地利用已知噪声实现低信噪比条件下的可靠通信。Costa[1]提出的WDP(writing on dirty paper)模型是一种系统中同时共存两个独立噪声源的功率受限通信系统,其中一个噪声源对发送端已知。一种基于最优脉冲位置调制(OPPM)的宽带WDP通信系统设计,发送脉冲的位置由对应符号时间中已知噪声的峰值位置确定,接收端则采用相关接收和最大幅度检测两种方法实现信号的解调。仿真结果表明,这一系统可以有效地利用已知噪声实现低信噪比条件下的可靠通信。
