Geotechnical and Geoenvironmental and Database Management ArticlesAnd some articles that combine these industries!This section is here to help you find general industry information. Here you will find white papers or case studies to give you some more insight into our products and their use, learn more about database management in general, and access articles and links highlighting the state database management in the geotechnical and geoenvironmental industry. White PapersHere you find short articles and papers written by us which tell you, in non-technical speak, how general state of the technology industry has influenced PLog. Articles can be read as a general synopsis of technology choices. Considerations for digital data collection systems – A summary of hardware and software issues we consider when developing our field collection software. PLog WAN capabilities – A summary of PLog’s remote synchronization capabilities via WAN, VPN, and LAN. Case Studies Foundation Investigations at Hickory Log Creek Dam, Canton, Georgia - an overview of how one of our clients, Schnabel, was able to execute a large geotechnical project with over 2,000 linear feet of soil boring and rock coring. They used PLog to help keep the project on schedule. An Integrated Digital System for Subsurface Exploration Data Collection and Boring Log Generation – Considerations MACTEC considered when working with us to deploy a customized version of PLog on a job with over 5,000 linear feet of drilling. Industry ArticlesThis section includes articles which cover various topics of interest to geotechnical and geoenvironmental specialists, PDA users, and even data base developers. Geotechnical and Geo-Environmental Coming Soon Handheld Technology Coming soon Databases The Comparative Value of Geotechnical Databases vs. Reportbases Implementing XML for Geotechnical Databases Data Granularity in the storage and reporting of Soil Exploration Information |
||
|
"[PLog provided] a uniform data entry system that was efficient and easy to use. The system helped to alleviate confusion from engineers and geologists with different methods of classification. PLog made data entry fast and efficient. It was faster to use the PDA than log on paper.Logs are neat and do not need to be “cleaned up” before turning in." Steve Nicely |
![]() |
Data. On Purpose.
![]() |
|
||||||||||||||
Dataforensics, LLC |