Temperature logs were made repeatedly during breaks in drilling and both during and after flow tests in the Salton Sea Scientific Drilling Project well (State 2–14). The purpose of these logs was to assist in identifying zones of fluid loss or grain and to characterize reservoir temperatures. At the conclusion of the active phase of the project, a series of logs was begun in an attempt to establish the equilibrium temperature profile. Initially, we were able to log to depths below 3 km, but beginning in late May of 1986, it was impossible to log below about 1.8 km owing to casing failure. Our best estimates of formation temperature below 1.8 km are 305° ± 5°C at 1890 m and 355° ± 10°C at 3170 m. For the upper 1.8 km the latest temperature log (October 24, 1986), using a digital “slickline” (heat‐shielded downhole recording) device, was within a few degrees Celsius of equilibrium, as confirmed by a more recent log (July 31, 1987) to a depth of ∼ 1 km. As in most other wells in the Salton Sea geothermal field, there is an impermeable, thermally conductive “cap” on the hydrothermal system; this cap extends to a depth of more than 900 m at the State 2–14 well. Thermal conductivities of 19 samples of drill cuttings from this interval were measured at room temperature. The conductivity values were corrected for in situ porosity as determined from geophysical logs and for the effects of elevated temperature. Thermal gradients decrease from about 250 mK m−1 (same as degrees Celsius per kilometer) in the upper few hundred meters to just below 200 mK m−1 near the base of the conductive cap. Using one interpretation, thermal conductivities increase with depth (mainly because of decreasing porosity), resulting in component heat flows that agree reasonably well with the mean of about 450 m W m−2. This value agrees well with heat flow data from shallow wells within the Salton Sea geothermal field. A second interpretation, in which measured temperature coefficients of quartz‐ and carbonate‐rich rocks are used to correct thermal conductivity, results in lower mean conductivities that are roughly constant with depth and, consequently, systematically decreasing heat flux averaging about 350 mW m−2 below 300 m. This interpretation is consistent with the inference (from fluid inclusion studies) that the rocks in this part of the field were once several tens of degrees Celsius hotter than they are now. The age of this possible disturbance is estimated at a few thousand years.
The High Temperature Borehole Televiewer is a downhole instrument which provides acoustic pictures of the borehole walls that are suitable for casing inspection and fracture detection in geothermal wells. The Geothermal Drilling Organization has funded the development of a commercial tool survivable to temper¬ atures of 275°C and pressures of 5000 psi. A real-time display on an IBM-compatible PC was included as part of the development effort. This report contains a User Manual which describes the operation of this software. The software is designed in a menu format allowing the user to change many of the parameters which control both the acquisition and the display of the televiewer data. An internal data acquisition card digitizes the waveform from the tool at a rate of 100,000 samples per second. The data from the tool, both the range or arrival time and the amplitude of the return signal, are displayed in color on the CRT screen of the computer during the logging operation. This data may be stored on the hard disk for later display and analysis. The software incorporates many features which aid in the setup of the tool for proper operation. These features include displaying and storing the captured waveform data to check the voltage and time windows selected by the user. The report provides the detail of the important data acquisition and display operations performed by the software. The results of two field tests of the teleview¬ er system are described. Some of the more interesting data from the field tests are discussed. Finally, the report concludes with a list of suggested improvements or modifications to the software and hardware. LIST OF FIGURES Page An example of the CRT screen displayed when the Display acquired waveform item is selected on the Data Acquisi¬ tion Menu. A value of 200 video frames is used for the display..
The object of research is the Raspberry Pi single-board computer. The work examines the optimization of architecture-independent hardware platforms using its example. The research is based on an integrated scientific approach based on a system-analytical, structural-functional, empirical and typological approach. It is emphasized that the entire Raspberry Pi line uses APM-architecture processors. The genesis of Raspberry Pi is given, the parameters of the last build are determined. It is noted that the latest version is dated November 2020. It is equipped with wireless WiFi and Bluetooth modules (2×USB 3.0 and 1×USB 2.0 ports type A, 5.0, BLE), which expand the boundaries of mini-PC application in the field of Ethernet technologies and has a frequency of 1.8 GHz. The appearance of one of the popular Raspberry Pi B+boards has been formed, with the separation of the main blocks. The basic principles of improving the performance of the Raspberry Pi single board computer are determined, each of which is based on a specific mechanism. The first is the addition of ZRAM as a compressed random access memory block device. The principle of ZRAM operation is described, the mechanism for activating ZRAM on the Raspberry Pi is given. To improve the performance of the Raspberry Pi single board computer, the use of an NVMe disk is justified. It is emphasized that the NVMe disk is reliable and has a high data transfer rate. Connecting it to the Raspberry Pi single board computer is the optimal solution to improve performance. The tuning sequence is presented, the numerical result of the NVMe disk operation based on the Raspberry Pi single-board computer is proposed. It is proposed, as a principle to improve performance, the installation of an ICE Tower CPU based on Raspberry Pi. It is noted that the ICE Tower CPU is a cooling system that is designed to cool the Raspberry Pi. The principles of tuning ICE Tower CPU and the result of fluctuations in temperature components using the rpi-monitor are described. As part of the study, performance improvements were obtained from 26 % to 34 %, which is mainly in line with the expected theoretical improvement of 34 %.
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