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    • 3. 发明授权
    • Method for determining wellbore diameter by processing multiple sensor measurements
    • 通过处理多个传感器测量来确定井筒直径的方法
    • US06725162B2
    • 2004-04-20
    • US10015470
    • 2001-12-13
    • John E. EdwardsLuca Ortenzi
    • John E. EdwardsLuca Ortenzi
    • G01V140
    • E21B47/082
    • A method is disclosed for producing a single logging-while-drilling (LWD) merged caliper from several indirect LWD borehole size measurements. The merging accounts for the varying validity of each input borehole size measurement as a function of the environment, the formation, and the borehole size itself. In one embodiment, the method includes obtaining a plurality of borehole size measurements from a plurality of LWD sensors and weighting each measurement with varying measurement confidence factors. One embodiment of the method includes determining a set of mathematical equations representative of the responses of the multiple sensors and solving the equation set to determine the borehole size. A computer encoded with instructions for weighting borehole size inputs and iteratively processing the weighted inputs to determine the merged caliper is also disclosed.
    • 公开了一种用于从几个间接LWD钻孔尺寸测量值生产单个同时钻井(LWD)合并卡尺的方法。 合并考虑到每个输入井眼尺寸测量值随着环境,地层和钻孔尺寸本身的变化而变化的有效性。 在一个实施例中,该方法包括从多个LWD传感器获得多个钻孔尺寸测量值,并用变化的测量置信因数对每个测量进行加权。 该方法的一个实施例包括确定表示多个传感器的响应的数学方程组,并求解方程组以确定井眼尺寸。 还公开了一种编码有用于加权井眼尺寸输入并迭代地处理加权输入以确定合并的卡尺的指令的计算机。
    • 4. 发明授权
    • Multi-point subsurface measurement calibration
    • 多点地下测量校准
    • US06903330B2
    • 2005-06-07
    • US10065303
    • 2002-10-01
    • Michael L. EvansLuca OrtenziRichard J. Radtke
    • Michael L. EvansLuca OrtenziRichard J. Radtke
    • G01V13/00G01D18/00
    • G01V13/00
    • Techniques for calibrating well-logging sensors comprising emitting a first signal into a first calibration substance disposed proximate to the sensor, measuring a first sensor response from the first signal, emitting a second signal into a second calibration substance disposed proximate to the sensor, measuring a second sensor response from the second signal, and determining a sensor response function from the first sensor response and the second sensor response. One embodiment includes providing a well-logging sensor having a known response function, determining an expected range of a quality check response of the sensor using a quality-check substance with known properties, emitting a quality check signal into the quality-check substance, measuring the quality check response from the quality check signal, and comparing the expected range with the quality check response.
    • 用于校准测井传感器的技术,包括将第一信号发射到靠近传感器布置的第一校准物质中,测量来自第一信号的第一传感器响应,将第二信号发射到靠近传感器设置的第二校准物质,测量 来自第二信号的第二传感器响应,以及从第一传感器响应和第二传感器响应确定传感器响应函数。 一个实施例包括提供具有已知响应功能的测井传感器,使用具有已知性质的质量检查物质确定传感器的质量检查响应的期望范围,将质量检查信号发送到质量检查物质中,测量 质量检查信号的质量检查响应,并将预期范围与质量检查响应进行比较。
    • 5. 发明授权
    • Formation evaluation through azimuthal tool-path identification
    • 通过方位角工具路径识别形成评估
    • US06696684B2
    • 2004-02-24
    • US10034476
    • 2001-12-28
    • Richard J. RadtkeRobert A. AdolphHélène C. ClimentLuca Ortenzi
    • Richard J. RadtkeRobert A. AdolphHélène C. ClimentLuca Ortenzi
    • G01V504
    • G01V5/125
    • A method for tool path identification in formation evaluation includes obtaining measurements of formation properties in azimuthal sectors for each of a plurality of depth levels; calculating quality factors from the measurements; identifying a centroid or maximum of the quality factors among the measurements in each of the azimuthal sectors for each depth level; and associating the centroid or maximum of the quality factors at each depth level along a borehole to form the tool path. Calculating the quality factors may include parameterizing the measurements according to at least one factor selected from a spine factor, a rib factor, and a volumetric photoelectric factor. A method for determining corrected measurements for formation properties includes identifying a tool path from measurements taken in azimuthal sectors at each depth level along a borehole; and calculating a corrected measurement at the each depth level by averaging measurements in the azimuthal sectors adjacent the tool path.
    • 在地层评价中用于工具路径识别的方法包括获得多个深度级中的每一个的方位角扇区中的地层特性的测量; 从测量中计算质量因子; 在每个深度级的每个方位角扇区中测量质量因子的质心或最大值; 并且沿着钻孔将每个深度级的质量因子的质心或最大值相关联以形成工具路径。 计算质量因子可以包括根据从脊柱因子,肋因子和体积光电因子中选择的至少一个因素来参数化测量。 用于确定用于地层性质的校正测量的方法包括从沿着钻孔的每个深度级的方位角段中进行的测量中识别刀具路径; 以及通过对与所述刀具路径相邻的所述方位区域中的测量进行平均,来计算所述每个深度级的校正测量值。