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To explore the influence of slightly acidic electrolyzed water (SAEW) with different pH and available chlorine contents (ACC) on the germination of tartary buckwheat (Fagopyrum tataricum), the germination rate was taken as the index, and the germination process of tartary buckwheat sprouts with SAEW was optimized by single factor and response surface experiments. Moreover, to obtain good quality selenium-enriched tartary buckwheat sprouts, the effects of different Na2SeO3 concentrations on tartary buckwheat were studied on the basis of SAEW germination, with the total selenium content and germination rate as indexes. The optimum technological parameters were determined as follows: soaking time 2.3 h, pH6.5, germination temperature 21 ℃ and germination time 108 h. Under these conditions, the germination rate was 84.96%, which was close to the predicted value of the response surface group (85.36%), being 14.3% and 11.71% higher than those of distilled water and tap water groups, respectively. The optimal concentration of Na2SeO3 was 60 mg/L, under which the total selenium content of tartary buckwheat sprouts was 15.5 mg/L, and the germination rate was 85.63%, which were both higher than the predicted and actual values of response surface group. This study provided a theoretical and scientific basis for the development of SAEW and selenium-enriched treatment of tartary buckwheat sprouts.

Objective To better interpret the geological information contained in geophysical logging data and expand the application scope of well logs in geology, Methods several typical cases of representative logging data are analyzed. This analysis seeks to enhance the use of well logs in geological research. Logging data can aid in the deployment of sidetracking wells by identifying tectonic occurrences and variations in their combination characteristics. Image log data also enable determintion of palaeocurrent directions and the identification of bidirectional provenance supply, thus providing refined and scientifically calibrated interpretations in alignment with geological understanding. Results Logging data, often regarded as the "eyes" of geologists, are advantageous for identifying and evaluating pores, caves, fractures, and other subsurface features. These data are crucial for discovering hydrocarbon reservoirs and facilitating the fine and continuous calculation of reserve parameters. The coupling relationships between mudstone resistivity, acoustic interval transit time, and in situ stress in logging curves can also be used to indirectly predict the quality of ultradeep reservoirs and hydrocarbon productivity. Moreover, combining geology, logging, and seismic activity allows for the delineation of hydrocarbon traps and supports oil and gas exploration and production. Conclusion The analysis of these typical cases assists geologists in better interpreting the geological information in logging curves and further broadens the application field and scope of geophysical logging data.