A method of identifying the fluid type of subterranean formations according to the correlation between the variation trend of electrical resistivity with depth downhole in a borehole and the variation trend of porosity with depth downhole in the same borehole. The method includes the steps of: a) determining the rate of change with depth of a resistivity parameter (such as deep resistivity) of the formation surrounding the borehole; b) determining the rate of change with depth of a porosity parameter (such as total porosity and/or free fluid porosity measured by a nuclear magnetic resonance technique) of the formation surrounding the borehole; c) determining a comparison of the rate of change with depth of such resistivity parameter and the rate of change with depth of such porosity parameter for a given depth in the borehole; and d) using the comparison to determine the nature of the fluid in the formation surrounding the borehole at that depth downhole or in a given depth window downhole.
Intelligent Diagnosis Of Environmental Influence On Well Logs With Model-Based Inversion
Jan W. Smits - Sugar Land TX Peter T. Wu - Sugar Land TX Qiming Li - Sugar Land TX Cheng Bing Liu - Houston TX
Assignee:
Schlumberger Technology Corporation - Sugar Land TX
International Classification:
G01V 1100
US Classification:
702 11
Abstract:
A method for identifying environmental effects in well log data includes selecting a plurality of models, each of the plurality of models including at least one parameter to be optimized; fitting the models to the well log data by optimizing the at least one parameter, the fitting producing a plurality of optimized models; determining an indicator of goodness of fit for each of the plurality of optimized models; and selecting a model representing a best fit of the well log data based on the indicator.
Methods And Systems For Resistivity Anisotropy Formation Analysis
Cheng Bing Liu - Houston TX, US Qiming Li - Sugar Land TX, US Frank P. Shray - Sugar Land TX, US Jacques Tabanou - Houston TX, US
Assignee:
Schlumberger Technology Corporation - Sugar Land TX
International Classification:
G01V003/38
US Classification:
702 7, 324339
Abstract:
Techniques for determining a formation property by simplifying various two-geological-layer or multi-geological-layer models into a multi-electrical-layer model. A volume fraction of a layer in a multi-electrical-layer model is determined for an anisotropic region (sliding window) of the formation. The multi-electrical-layer electrical model includes a relative-lower-resistivity layer and a relative-higher-resistivity layer. A high-resolution resistivity measurement is used in the determination and resistivities for the relative-lower-resistivity layer and for the relative-higher-resistivity layer based on the volume fraction and bulk resistivity measure ments of the anisotropic region are determined. The formation property is based on the volume fraction, the resistivity of the relative-lower-resistivity layer, the resistivity of the relative-higher-resistivity layer, a total porosity of the anisotropic region, and bulk resistivity measurements of the region.
- Atlanta GA, US Hongyan Lei - Plano TX, US Cheng P. Liu - Johns Creek GA, US Yonghui Tong - Alpharetta GA, US
Assignee:
AT&T Mobility II LLC - Atlanta GA AT&T Intellectual Property I, L.P. - Atlanta GA
International Classification:
H04W 36/32
US Classification:
455436
Abstract:
A user equipment device cell reselection procedure includes scaling factors that are based on cell-types of a camping cell and neighbor cells and a mobility state of the user equipment device. The scaling factors can be received in a system information block message. During an idle mode cell selection/reselection procedure, the user equipment device can apply the appropriate scaling factor to the hysteresis during the cell selection/reselection procedure.