Issues of race, police brutality, and gun control have been at the forefront of America’s list of hotly debated topics. Earlier this month, Dallas police officers were killed by an individual seeking payback for recent police shootings, and just yesterday three officers were killed in Baton Rouge– a city in strife after white officers shot and killed a black man earlier in July. Black Lives Matter demonstrators argue that police are targeting black Americans. These issues are complex and multifaceted, but thanks to the Washington Post, we have data that covers police shootings from 2015 to present day.
This is quick video how you can use Spotfire to assist oilfield operators in determining the flow rates of gas-drive wells using inflow performance relationship (IPR) and tubing performance relationship (TPR) of reservoir, wellbore, and production data.
Have you ever come across problems and errors while running the TERR scripts in Spotfire Data Functions which you didn’t have while running the same code as an R script outside Spotfire? There is a way to troubleshoot this issue by debugging your TERR code outside of Spotfire, i.e., in RStudio. Generally speaking, you need to enable your RStudio to run the TERRengine instead of R. Then, you want to be able to access your TERR Data Function Input Parameters from RStudio so that you can run and debug your TERR script there. How to do all that? It’s not that complicted. Please follow the steps below.
It is quite easy to include formation tops in the Ruths.ai Well Log Visualization. The neatest way to do that is to have a data table that contains the formation top depth for each well contained in the data table that has the well log data. In its most basic form, the formation tops data table should contain at least 3 columns: Formation Name, Top Depth and Well Name. Here is a video of how to add formation tops to Ruths.ai Well Log Visualization:
Spotfire is a powerful BI tool but lacks some fundamental collaborative functions. As a core principle of BI, tools are meant to report on and not change systems of record. Of course, anyone who has built BI solutions knows that in the real world you want to add the ability for users to capture their findings or edit/adjust key values without adjusting or talking to source vendor systems. Enter SharePoint! Here’s a quick guide for creating a collaborative analytics dashboard in Spotfire using SharePoint.