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Open image in new window Fig. 3 Selected network architecture for trip time prediction.
Schofield et al. (1992) used the following relationships for trip time.
Available rule of thumb for trip time estimation is 1 h/1,000 ft of well depth.
This study divided the abrasion condition of roller bits into eight steps and used bit life expectancy time for developing a simulation algorithm for Trip Time for Bit Exchange (TTBE).
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The test data in Time 1 was also used for Study 1. Table 4 Study design in Study 2 (N = 81) Prompt 1: Successful students Prompt 2: Important animal Prompt 3: Living longer Prompt 4: Prepare for a trip Time 1: Pretest, May ✔ ✔ Time 2: Posttest 1, July ✔ ✔ Time 3: Posttest 2, December ✔ ✔ Note.
In this work, both an artificial neural networks (ANN) model and a multiple linear regression model have been developed for estimating drilling trip time.
In this study, an attempt is made to develop a model for estimating drilling trip time in the southern Iranian oil fields.
For example, total trip time in T1 and T2 should be less than 3 to 10 min compared to T0 and T1, respectively.
Then, it is necessary to calculate trip time for each of the selected trips for all alternative modes.
Participants were also provided with a colored rubber wrist watch (for recording trip times) and a travel diary for that evening and the following morning.
The trip time for a packet is the same today as it was 30 years ago.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com