Where? Found some really awesome R cheat sheets courtesy of RStudio at this link. My favorite cheat sheet is Data Wrangling with dplyr and tidyr. Those two packages, by far, are the most useful CRAN packages for converting datasets into “tidy” data (normalized data). What? In case you missed it, R is the de facto data analysis programming-language, […]Read more "R you in need of help?"
Location, Location, Location An amusing anecdote I once heard is that good oil and gas companies decorate their walls with maps – not art. That being said, I would like to share a link to the Perry-Castaneda Library Map Collection (University of Texas At Austin) – a collection of maps sourced from historical archives and around the internet. […]Read more "Maps, Maps, Maps"
Reflection Often times, I find myself asking “why didn’t I think of that”? No, I’m not talking about the great ideas like Reality TV or Candy Crush Saga; I’m talking about those moments when you think to yourself “if only I knew that existed back then”. Mapping it out Years ago, I worked in remote operations […]Read more "If I had known then"
Source & KPI’s I make it my mission to find quality sources of information when I am studying a particular subject. Keeping up with the boom-bust cycle of US onshore means finding reliable quality sources of information. In addition, finding those key indicators that convey the most clear sense of what is going on is key, too. Production […]Read more "Keeping up with the bust (and boom) in US onshore"
Why wikis? Whether you are just getting started in the E&P industry or you are looking for help with an unfamiliar term or concept, try the SPE (my personal favorite), AAPG, and SEG wiki pages. These wikis are verbose and filled with good citations; providing clear, more accurate information than the traditional wiki – Wikipedia. What […]Read more "Oil & Gas Wikis: SPE, AAPG, and SEG"