Abstract: Techniques for generating deliverable files from well logging data include obtaining the well logging data, wherein the well logging data is associated with a unique identifier; outputting a graphical deliverable file based on the well logging data, one or more templates, and a set of graphical deliverable attributes that specify how the graphical deliverable file is to be generated; and outputting an electronic data file comprising the set of graphical deliverable attributes such that the graphical deliverable file can be regenerated from the electronic data file. The well logging data may include all information necessary to recalculate the computed outputs from the raw data (e.g., computational parameters). Other methods include techniques for uniquely associating data and for making the outputs tamper-proof so that a user can compare two different types of outputs (e.g., digital and graphical deliverables) and be confident whether they are from the same source data.

Abstract: A method for generating a depth-indexed data structure for a reaming operation includes receiving, by a software process, i) well logging data that includes time-indexed data and depth measurement data for an oil well drilling rig, ii) a selection identifying a depth range for a reaming operation by the drilling rig, and iii) values for a certain parameter indicating an operating mode for the drilling rig. Then the software process extracts, responsive to the selected depth range and one of the values of the parameter, a section from the well logging data within the selected depth range, and generates from the section the depth-indexed data structure for the reaming operation.

Abstract: A method for generating a depth-indexed data structure for a reaming operation includes receiving, by a software process, i) well logging data that includes time-indexed data and depth measurement data for an oil well drilling rig, ii) a selection identifying a depth range for a reaming operation by the drilling rig, and iii) values for a certain parameter indicating an operating mode for the drilling rig. Then the software process extracts, responsive to the selected depth range and one of the values of the parameter, a section from the well logging data within the selected depth range, and generates from the section the depth-indexed data structure for the reaming operation.

Abstract: A method for obtaining quantitative characteristics of an area of investigation includes measuring characteristics of the area of investigation in a first dimension, coordinating the measured characteristics with an index of a second dimension, the coordinating enabling an identification of a trend of the measured characteristics, and extrapolating using the trend in the second dimension to obtain quantitative characteristics of the area of investigation. An apparatus configured for use in a drill hole environment includes a clock configured to receive data from the depth meter and a processor configured to correlate clock data and depth data to provide a time after bit measure associated with a plurality of measurements of the measurements taken by the tool whereby the measurements taken at different depths are useful as compared to measurements taken independent of the time after bit measurements.

Abstract: In a method for a well logging data presentation, data sets are identified from well logging data. Each data set is assigned a unique identifier. A presentation template, which defines a presentation for the well logging data, is configured. The presentation for the logging data may be in the form of a display and/or a hard copy. The presentation template includes definitions of a number of component presentations. Each component presentation includes a corresponding component template. Each component template includes a pointer pointing to a source for one of the data sets and defines a structure for the component's presentation. A graphical presentation program generates the presentation, responsive to reading the presentation template, component templates and data sets. The presentation can be viewed and changed while data is still being acquired.

Abstract: A method for obtaining quantitative characteristics of an area of investigation includes measuring characteristics of the area of investigation in a first dimension, coordinating the measured characteristics with an index of a second dimension, the coordinating enabling an identification of a trend of the measured characteristics, and extrapolating using the trend in the second dimension to obtain quantitative characteristics of the area of investigation. An apparatus configured for use in a drill hole environment includes a clock configured to receive data from the depth meter and a processor configured to correlate clock data and depth data to provide a time after bit measure associated with a plurality of measurements of the measurements taken by the tool whereby the measurements taken at different depths are useful as compared to measurements taken independent of the time after bit measurements.

Abstract: A method for aligning measurements of a hostile environment includes synchronizing at least two clocks, wherein at least a first clock is in the hostile environment, measuring characteristics of the hostile environment, aligning time domain curves of the collected measurements, correlating the curves using one or more events recorded by each clock, and correcting the curves by adding one or more time offsets. The offsets may be added to a found resent event or at other locations on the time domain curve. A second clock may be located outside the hostile environment or within a same or similar hostile environment. The collecting the measurements may be taken by a first measurement tool in a first device near the first clock and in at least a second device coupled to a second clock.

Abstract: A method for aligning measurements of a hostile environment includes synchronizing at least two clocks, wherein at least a first clock is in the hostile environment, measuring characteristics of the hostile environment, aligning time domain curves of the collected measurements, correlating the curves using one or more events recorded by each clock, and correcting the curves by adding one or more time offsets. The offsets may be added to a found resent event or at other locations on the time domain curve. A second clock may be located outside the hostile environment or within a same or similar hostile environment. The collecting the measurements may be taken by a first measurement tool in a first device near the first clock and in at least a second device coupled to a second clock.