Because the main purpose of this paper is to improve the utilization of the traditional logging data, the selected eigenvalues are the most commonly used logging data, including SP, GR, LLD, LLS, CNL, FDC and AC, but the new logging technologies (e.g., NMR) are not considered.
In carbonate reservoirs, effectiveness estimation using logging data has great challenges.
In field experiences, dynamic Young's modulus can often be calculated using logging data, while core data for static experiments in the lab are scarce.
We present new results and interpretations of the electrical anisotropy and reservoir architecture in gas hydrate-bearing sands using logging data collected during the Gulf of Mexico Gas Hydrate Joint Industry Project Leg II.
To do this we exploit not only the workflow's design, but also use logged data describing the system's observed historic behavior, and incorporate information extracted about the current state of the workflow.
Here, we introduce an alternative approach to determine the formation architecture and lithofacies of the oceanic sub-basement by using logging data, particularly utilizing downhole microresistivity imagery (e.g. Formation MicroScanner (FMS) imagery), which has the potential to become a key tool in deciphering the high-resolution internal architecture of the intact upper ocean crust.
We use logging data to test the feasibility of the method of prestack nonlinear inversion based on the improved MCMC algorithm using the exact Zoeppritz equation.
If one of these parameters is lacking, the estimation of the natural fracture porosity using log data becomes impossible.
Hamka et al. (2014) was the first to conduct a study, in which smartphone user segmentation was performed using log data collected through smartphone measurements.
We may use log data to help diagnose problems with our server, administer our websites, analyze trends and track users' use of websites to improve our websites, and to deliver customized and/or personalized content.
While the conventional approach to evaluation relies on online A/B tests, recent work has shown that counterfactual estimators can provide an inexpensive and fast alternative, since they can be applied offline using log data that was collected from a different policy fielded in the past.
