基于半解析理论提出的裂缝之间和裂缝内部的离散和耦合方法,对研究复杂缝网下的水平井产能预测方法对非常规油气开采具有重要意义。本文基于渗流理论和源函数理论,建立了流体在裂缝中、地层中以及在井筒内的渗流模型、水平井筒压力损失...基于半解析理论提出的裂缝之间和裂缝内部的离散和耦合方法,对研究复杂缝网下的水平井产能预测方法对非常规油气开采具有重要意义。本文基于渗流理论和源函数理论,建立了流体在裂缝中、地层中以及在井筒内的渗流模型、水平井筒压力损失计算模型、水平井间干扰模型;通过引入裂缝中心坐标作为计算参数,对裂缝进行离散化处理,实现了裂缝间、裂缝与井筒间、裂缝与地层间的耦合,建立了水平井注采井网的产能预测模型。通过对产能影响因素分析可得:早期裂缝数量的增加使裂缝与储层接触面积变得更大,渗流通道增多,更多的流体可以通过裂缝流向井筒,从而提高产量。并随着地层渗透率、裂缝长度、裂缝导流能力的增大,流体渗流阻力变小、无阻流量增大,提高了储层的采出程度,产能会进一步显著提高。同时本文对油田现场分级多段压裂水平井产能预测具有一定的参考应用价值。The discretization and coupling methods proposed between and within fractures based on semi-analytical theory are of great significance for studying productivity prediction methods for horizontal wells in complex fracture networks in unconventional oil and gas extraction. This paper establishes fluid flow models in fractures, formations, and wellbores, pressure loss calculation models for horizontal wellbores, and interference models between horizontal wells based on fluid flow theory and source function theory. By introducing the coordinates of fracture centers as calculation parameters, the fractures are discretized, enabling coupling between fractures, between fractures and wellbores, and between fractures and formations. Furthermore, a productivity prediction model for horizontal injection-production well networks is established. Analysis of factors influencing productivity reveals that an increase in the number of fractures in the early stages results in a larger contact area between fractures and the reservoir, more flow channels, and more fluid flowing into the wellbore through fractures, thereby enhancing production. As formation permeability, fracture length, and fracture conductivity increase, fluid flow resistance decreases and the absolute open flow potential increases, leading to higher reservoir recovery and further significant improvements in productivity. Additionally, this paper provides certain reference value and application significance for productivity prediction of staged multi-fractured horizontal wells in oilfield operations.展开更多
传统决策技术由于自身缺乏挖掘数据背后隐藏知识的能力,已无法有效从油田海量数据中获取有用信息或知识,无法对决策提供有效支持。利用智能决策技术可以增强决策开发和利用的能力,改善决策的智能化水平,并能以油田分散异构的数据为支撑...传统决策技术由于自身缺乏挖掘数据背后隐藏知识的能力,已无法有效从油田海量数据中获取有用信息或知识,无法对决策提供有效支持。利用智能决策技术可以增强决策开发和利用的能力,改善决策的智能化水平,并能以油田分散异构的数据为支撑进而解决油田生产问题。论文从油田复杂决策存在的困难入手,了解了油田由传统到智能决策的技术改进;着重梳理了目前主流智能决策技术,并根据技术底层原理不同归纳为由机器学习驱动、专家系统驱动、数据仓库与数据挖掘驱动以及预测算法驱动这4大类技术,深入探究了不同技术的实现原理与架构;分析了不同技术解决石油领域问题的应用场景;最后提出未来多技术交叉融合的群决策技术的发展方向,以期帮助科学选择辅助决策技术,进而提高油田综合经济效益。Traditional decision-making technology itself lacks the ability to mine the hidden knowledge behind the data, and has been unable to effectively obtain useful information or knowledge from the massive data of oil field, and can not provide effective support for decision-making. The use of intelligent decision-making technology can enhance the ability of decision-making development and utilization, improve the level of intelligent decision-making, and solve the problem of oilfield production with the support of dispersed heterogeneous data. This paper starts with the difficulties of complex decision-making in oil field, and understands the technical improvement from traditional to intelligent decision-making in oil field. This paper focuses on sorting out the current mainstream intelligent decision-making technologies, and according to the different underlying principles of technology, it is summarized into four categories: machine learning driven, expert system driven, data warehouse and data mining driven, and prediction algorithm driven. The implementation principles and architectures of different technologies are deeply explored. The application scenarios of different technologies to solve problems in the petroleum field are analyzed. Finally, the development direction of group decision-making technology with multi-technology cross integration in the future is proposed, in order to help scientifically select auxiliary decision-making technology and improve the comprehensive economic benefits of oil fields.展开更多
钻井液脉冲信号传输技术是一种在石油钻探领域广泛应用的信号传输方法,其通过脉冲信号发生器产生压力脉冲向地面传递信息,但当前该技术仍面临着传输速率低、噪声干扰强等挑战。本文基于泥浆脉冲信号的基本原理,详细阐述了其传输编码与...钻井液脉冲信号传输技术是一种在石油钻探领域广泛应用的信号传输方法,其通过脉冲信号发生器产生压力脉冲向地面传递信息,但当前该技术仍面临着传输速率低、噪声干扰强等挑战。本文基于泥浆脉冲信号的基本原理,详细阐述了其传输编码与调制技术,并深入分析了信号的传输特性及衰减因素。针对当前随钻测量中泥浆脉冲信号去噪效果不理想的问题,本文对国内外的泥浆脉冲信号滤波去噪方法进行了广泛的调研,并对研究现状进行了全面的总结分析,以期为降低勘探和钻井的成本及风险提供有价值的技术参考。Drilling fluid pulse signal transmission technology is a widely used signal transmission method in the field of oil drilling, which transmits information to the ground through pressure pulses generated by pulse signal generators, but the current technology still faces challenges such as low transmission rate and strong noise interference. Based on the basic principle of mud pulse signal, this paper expounds the transmission coding and modulation technology in detail, and analyzes the transmission characteristics and attenuation factors of the signal in depth. In view of the unsatisfactory denoising effect of mud pulse signal in the current measurement while drilling, this paper conducts extensive research on the mud pulse signal filtering and denoising methods at home and abroad, and comprehensively summarizes and analyzes the research status, in order to provide valuable technical reference for reducing the cost and risk of exploration and drilling.展开更多
文摘基于半解析理论提出的裂缝之间和裂缝内部的离散和耦合方法,对研究复杂缝网下的水平井产能预测方法对非常规油气开采具有重要意义。本文基于渗流理论和源函数理论,建立了流体在裂缝中、地层中以及在井筒内的渗流模型、水平井筒压力损失计算模型、水平井间干扰模型;通过引入裂缝中心坐标作为计算参数,对裂缝进行离散化处理,实现了裂缝间、裂缝与井筒间、裂缝与地层间的耦合,建立了水平井注采井网的产能预测模型。通过对产能影响因素分析可得:早期裂缝数量的增加使裂缝与储层接触面积变得更大,渗流通道增多,更多的流体可以通过裂缝流向井筒,从而提高产量。并随着地层渗透率、裂缝长度、裂缝导流能力的增大,流体渗流阻力变小、无阻流量增大,提高了储层的采出程度,产能会进一步显著提高。同时本文对油田现场分级多段压裂水平井产能预测具有一定的参考应用价值。The discretization and coupling methods proposed between and within fractures based on semi-analytical theory are of great significance for studying productivity prediction methods for horizontal wells in complex fracture networks in unconventional oil and gas extraction. This paper establishes fluid flow models in fractures, formations, and wellbores, pressure loss calculation models for horizontal wellbores, and interference models between horizontal wells based on fluid flow theory and source function theory. By introducing the coordinates of fracture centers as calculation parameters, the fractures are discretized, enabling coupling between fractures, between fractures and wellbores, and between fractures and formations. Furthermore, a productivity prediction model for horizontal injection-production well networks is established. Analysis of factors influencing productivity reveals that an increase in the number of fractures in the early stages results in a larger contact area between fractures and the reservoir, more flow channels, and more fluid flowing into the wellbore through fractures, thereby enhancing production. As formation permeability, fracture length, and fracture conductivity increase, fluid flow resistance decreases and the absolute open flow potential increases, leading to higher reservoir recovery and further significant improvements in productivity. Additionally, this paper provides certain reference value and application significance for productivity prediction of staged multi-fractured horizontal wells in oilfield operations.
文摘传统决策技术由于自身缺乏挖掘数据背后隐藏知识的能力,已无法有效从油田海量数据中获取有用信息或知识,无法对决策提供有效支持。利用智能决策技术可以增强决策开发和利用的能力,改善决策的智能化水平,并能以油田分散异构的数据为支撑进而解决油田生产问题。论文从油田复杂决策存在的困难入手,了解了油田由传统到智能决策的技术改进;着重梳理了目前主流智能决策技术,并根据技术底层原理不同归纳为由机器学习驱动、专家系统驱动、数据仓库与数据挖掘驱动以及预测算法驱动这4大类技术,深入探究了不同技术的实现原理与架构;分析了不同技术解决石油领域问题的应用场景;最后提出未来多技术交叉融合的群决策技术的发展方向,以期帮助科学选择辅助决策技术,进而提高油田综合经济效益。Traditional decision-making technology itself lacks the ability to mine the hidden knowledge behind the data, and has been unable to effectively obtain useful information or knowledge from the massive data of oil field, and can not provide effective support for decision-making. The use of intelligent decision-making technology can enhance the ability of decision-making development and utilization, improve the level of intelligent decision-making, and solve the problem of oilfield production with the support of dispersed heterogeneous data. This paper starts with the difficulties of complex decision-making in oil field, and understands the technical improvement from traditional to intelligent decision-making in oil field. This paper focuses on sorting out the current mainstream intelligent decision-making technologies, and according to the different underlying principles of technology, it is summarized into four categories: machine learning driven, expert system driven, data warehouse and data mining driven, and prediction algorithm driven. The implementation principles and architectures of different technologies are deeply explored. The application scenarios of different technologies to solve problems in the petroleum field are analyzed. Finally, the development direction of group decision-making technology with multi-technology cross integration in the future is proposed, in order to help scientifically select auxiliary decision-making technology and improve the comprehensive economic benefits of oil fields.
文摘钻井液脉冲信号传输技术是一种在石油钻探领域广泛应用的信号传输方法,其通过脉冲信号发生器产生压力脉冲向地面传递信息,但当前该技术仍面临着传输速率低、噪声干扰强等挑战。本文基于泥浆脉冲信号的基本原理,详细阐述了其传输编码与调制技术,并深入分析了信号的传输特性及衰减因素。针对当前随钻测量中泥浆脉冲信号去噪效果不理想的问题,本文对国内外的泥浆脉冲信号滤波去噪方法进行了广泛的调研,并对研究现状进行了全面的总结分析,以期为降低勘探和钻井的成本及风险提供有价值的技术参考。Drilling fluid pulse signal transmission technology is a widely used signal transmission method in the field of oil drilling, which transmits information to the ground through pressure pulses generated by pulse signal generators, but the current technology still faces challenges such as low transmission rate and strong noise interference. Based on the basic principle of mud pulse signal, this paper expounds the transmission coding and modulation technology in detail, and analyzes the transmission characteristics and attenuation factors of the signal in depth. In view of the unsatisfactory denoising effect of mud pulse signal in the current measurement while drilling, this paper conducts extensive research on the mud pulse signal filtering and denoising methods at home and abroad, and comprehensively summarizes and analyzes the research status, in order to provide valuable technical reference for reducing the cost and risk of exploration and drilling.
