Neural model to estimate permeability from well logs and core data

Pore throat size characterization of carbonate reservoirs by integrating core data, well logs and seismic attributes

Investigation of pore system properties of carbonate reservoirs has an important role in evaluating the reservoir quality and delineating high production intervals. The current study proposes a three-step approach for pore throat size characterization of these reservoirs, by integrating core data, well logs and 3D seismic volume. In this respect, first the pore throats size was calculated using...

Assessment of Permeability from Well Logs Based on Core Calibration and Simulation of Mud-filtrate Invasion

This paper describes the application of a new methodology to estimate permeability of clastic rock formations based on the numerical simulation of the physics of mudfiltrate invasion. The methodology assumes a key well with a complete suite of well logs and rock-core laboratory measurements of porosity, permeability, capillary pressure, and relative permeability. For additional wells in the sam...

Using Neural Networks with Limited Data to Estimate Manufacturing Cost

Neural networks were used to estimate the cost of jet engine components, specifically shafts and cases. The neural network process was compared with results produced by the current conventional cost estimation software and linear regression methods. Due to the complex nature of the parts and the limited amount of information available, data expansion techniques such as doubling-data and data-cr...

Automatically tying well logs to seismic data

Seismic data are recorded and commonly interpreted in vertical two-way time; well logs, measured in depth, must be tied to seismic using a time-depth curve. However, well ties contain a large amount of uncertainty due to errors in the generation of synthetic seismograms and manual matching of synthetic seismograms to seismic traces. Using dynamic time warping, a fast algorithm that optimally al...

Reservoir Properties from Well Logs using neural Networks