Predicting Drilling Costs

✓ Compatible with desktop and web

 

Description

This Spotfire template uses drilling phase parameters and locations to predict drilling costs for wells. We implemented a TERR data function that aggregates the input data to get a row per well name. This function feeds an SVM regression to predict the Total Cost per well.

Features

  • TERR Data function that aggregates parameters per well and predicts drilling cost with an SVM model
  • R2 as validation measure and summary statistics (P10, avg, P90)
  • Visualization of the prediction results

Installation

A template is an analysis file created in TIBCO Spotfire. The intended use is to replace the data and utilize the configured visualizations and calculations.

  1. Download the template to your personal machine. Login into your own Spotfire server and open the downloaded file.
  2. Review the tables shown on the data load page. These are the tables you'll replace.
  3. Replace the data with another Excel sheet or connect the template directly to your database or platform.
  4. Customize with your own data. You are free to embed and incorporate your template into other projects.
  5. All done!

Spotfire Templates are provided as is and do not require licenses.

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Predicting Drilling Costs

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Product Details
Release date: January 19, 2018
Last updated: January 19, 2018
Current version: 1.0
Software application type: Spotfire Template
File format: .dxp
File size: 1039 KB
Requirements: TIBCO Spotfire 7.10+

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Ruths.ai