tNavigator 15: Production History Table

Summary

The video demonstrates the process of importing and populating a well history production table. The presenter explains how to manually input data for various wells, including oil flow rates, gas rates, and liquid rates, and the challenges of doing so for 33 wells. The solution involves importing a pre-existing table of production history data, ensuring correct formatting and skipping unnecessary columns. The process includes adjusting table structures, filtering non-empty columns, and ensuring proper units and data accuracy. The tutorial emphasizes the efficiency of automating this process using pre-prepared data files.

Takeaways

• 😀 The well history production table is being populated with data such as oil flow rates, gas rates, and liquid rates.
• 😀 Manually inputting data for 33 wells can be time-consuming, so importing pre-existing production history data is more efficient.
• 😀 A pre-existing production history table is imported using a text document containing various columns, including well names, dates, and flow rates.
• 😀 The user ensures the data is in the correct metric units before importing the data into the table.
• 😀 Skip lines functionality is used to disregard certain rows, such as the bottom hole pressure, ensuring the data structure is correct.
• 😀 The date format in the imported data is 'dd.mm.yyyy', which is carefully checked for accuracy before importing.
• 😀 The table can be modified to include or exclude specific data columns, like skipping rows related to bottom hole pressure.
• 😀 To optimize the table view, non-empty columns are selected and empty columns are excluded.
• 😀 Once the data is imported, a well production table is created containing relevant flow rates and bottom hole pressure data.
• 😀 After data import, the well history table displays critical data points like oil flow rate, water flow rate, water injection rate, and bottom hole pressure.
• 😀 The script involves handling and cleaning up imported data to ensure only relevant, non-empty information is displayed in the final table.

Q & A

What is the purpose of importing the production history data in the script?

The purpose of importing the production history data is to populate the well history table with accurate data for analysis, avoiding the need to manually input information for multiple wells.

How does the user initially populate the well history table?

The user initially populates the well history table by manually selecting wells, dates, and various production rates, including oil flow rate, gas rate, and liquid rate.

What problem does the user mention regarding manually inputting data?

The user mentions that manually inputting data for 33 wells would be cumbersome and time-consuming, hence the need to import pre-existing production history data.

What format does the production history data come in for import?

The production history data comes in a text document file, which is imported into the system using the 'Import Table' feature.

What are the key columns in the imported production history table?

The key columns in the imported production history table include well name, date, oil rate, water rate, water injection rate, gas rate, liquid rate, and bottom hole pressure.

What action does the user take to handle columns that are not needed in the table?

The user skips unnecessary columns by using the 'skip line' function, ensuring that only relevant data is imported and displayed in the table.

Why is the 'skip line' function used in this process?

The 'skip line' function is used to exclude specific rows from being imported into the table. This helps in focusing on relevant data and excluding unnecessary information like empty or non-relevant columns.

What units are being used for production data in this process?

The units being used for the production data are metric units, specifically for liquid and gas flow rates, ensuring consistency in measurements.

What does the user do when there are too many empty columns in the table?

The user selects the 'non-empty columns' option to hide and remove empty columns from the table, making it more manageable and easier to analyze.

What does the table look like after the user finalizes the import process?

After finalizing the import process, the table contains relevant data, including well name, date, oil flow rate, water flow rate, water injection rate, and bottom hole pressure, with unnecessary columns removed or skipped.