Computer modelling and simulation holds the promise of improved outcomes and more efficient resource allocation. However, attaining these results requires careful consideration of model inputs, robust mechanistic or probabilistic characterizations, delineation of assumptions, validation of outputs versus available data, and the appropriate use of model […]
Pipeline integrity is embracing the technologies that have been produced by the Big Data revolution. Database access, machine learning algorithms, and analytics tools are no longer the domain of researchers and IT experts, and can be easily deployed to improve our use of pipeline integrity […]