Sentence examples for combined logging from inspiring English sources

Exact(2)

The combined logging methods have had the advantage of locating thin fracture section and weathering zones, which could not have been identified using only one logging tool.

Based on the analysis of the combined logging results from the investigated boreholes, probable micro-fracture zones were easily delineated and selected as targets for the hydrofracturing campaign to improve their yield.

Similar(58)

Other Republican candidates have, combined, logged dozens of campaign events in this state since leaving Iowa on Wednesday, fighting for a respectable finish in the top three.

For all 40 data points combined, log variance was highly significantly positively related to log mean of bacterial density (F1, 38 = 692, p < 0.0001).

All model parameters of the combined log files reached an estimated sample size (ESS >200.

The combined log files were then examined again by Tracer to investigate mixing and convergence to stationarity.

For the statistical analysis we combined log relative risks and standard errors using the inverse variance approach.

The combined log-linear model (P=0.0325, P heterogeneity =0.1526, I=33.2%) and OR log-linear model (P=0.0072, P heterogeneity =0.2945, I=18.9%) both showed statistically significant increasing trends.

In another example, Smallbone et al. [ 22] combined log-linear kinetics with metabolic control analysis [ 37, 38] to identify reactions exerting the most control over biomass production in a genome-scale metabolic network of S. cerevisiae.

DOI: http://dx.doi.org/10.7554/eLife.01098.013 Kaplan Meier survival curves indicate that in GHRH-KO mice, CR produced significant increase in overall survival, average, median, and maximal longevity when the data from both sexes were combined (log-rank test, p<0.0001).

The other models were all statistically non-significant (P=0.2329 for increasing combined log-linear model, P non-linearity =0.3118 for HR decreasing-increasing RCS model, P=0.2323 for decreasing OR log-linear model, P non-linearity =0.2844 for increasing-decreasing RCS model, P=0.2007 for decreasing RR log-linear model, P=0.1789 for increasing HR log-linear mortality model).

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