Two dimensional pixel-based inversion
US-2018321415-A1 · Nov 8, 2018 · US
US11525353B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11525353-B2 |
| Application number | US-201715773511-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 8, 2017 |
| Priority date | May 8, 2017 |
| Publication date | Dec 13, 2022 |
| Grant date | Dec 13, 2022 |
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A system and method for evaluating a subterranean earth formation as well as a method of steering a drill bit in a subterranean earth formation. The system comprises a logging tool that is operable to measure formation data and locatable in a wellbore intersecting the subterranean earth formation. The system also comprises a processor that is in communication with the logging tool. The processor is operable to calculate multiple distance-to-bed-boundary (DTBB) solutions using the measured formation data, identify DTBB solutions that satisfy a threshold, convert the identified solutions into pixelated solutions by dividing the identified solutions into pixels, generate a formation model based on the pixelated solutions, and evaluate the formation using the generated formation model.
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What is claimed is: 1. A system for evaluating a subterranean earth formation, comprising: a logging tool locatable in a wellbore intersecting the subterranean earth formation and operable to measure formation data at different measurement depths along the wellbore; and a processor in communication with the logging tool and operable to: generate multiple distance-to-bed-boundary (DTBB) solutions at a measurement depth using a DTBB inversion method with the measured formation data for the measurement depth, identify the DTBB solutions that satisfy a residual threshold relative to the measured formation data, convert only the identified solutions into pixelated solutions by dividing the identified solutions into pixels, generate a formation model based on the pixelated solutions, and evaluate the formation using the generated formation model. 2. The system of claim 1 , wherein the logging tool comprises a resistivity logging tool operable to measure the resistivity of the formation. 3. The system of claim 1 , wherein the processor is further operable determine an uncertainty of a parameter from the measured formation data based on the pixelated solutions. 4. The system of claim 3 , wherein the uncertainty of the parameter is determined based on the standard deviation of the parameter determined from the formation model. 5. The system of claim 3 , wherein the uncertainty of the parameter is determined based on the derivative of a horizontal resistivity determined from the formation model. 6. The system of claim 3 , wherein the parameter includes any one or any combination of a horizontal resistivity, an anisotropy ratio, a boundary position of formation layers, and a formation dip. 7. The system of claim 3 , wherein the uncertainty of the parameter is determined by applying a filter to the derivative of a horizontal resistivity derived from the formation model. 8. The system of claim 3 , wherein the uncertainty of the parameter is determined by applying a filter to a derivative of a horizontal resistivity determined from the formation model and identifying a peak width of the convoluted derivative. 9. The system of claim 1 , wherein the formation model is generated by calculating a mean of the pixelated solutions. 10. The system of claim 9 , wherein the mean is calculated by not including outlier pixels among the pixelated solutions. 11. A method of evaluating a subterranean earth formation, comprising: measuring formation data at different measurement depths in a wellbore intersecting the subterranean earth formation using a logging tool; transmitting the formation data to a computer system comprising a processor at the surface of the earth; generating, with the processor, multiple distance-to-bed-boundary (DTBB) solutions at a measurement depth using a DTBB inversion method with the measured formation data for the measurement depth; identifying, with the processor, the DTBB solutions that satisfy a residual threshold relative to the measured formation data; converting, with the processor, only the identified solutions into pixelated solutions by dividing the identified solutions into pixels; generating, with the processor, a formation model based on the pixelated solutions; and evaluating the formation using the formation model. 12. The method of claim 11 , wherein the logging tool comprises a resistivity logging tool operable to measure the resistivity of the formation. 13. The method of claim 11 , further comprising determining an uncertainty of a parameter based on the formation model. 14. The method of claim 13 , wherein determining the uncertainty of the parameter comprises calculating a standard deviation of the parameter based on the formation model. 15. The method of claim 13 , wherein determining the uncertainty of the parameter comprises: calculating a derivative of a horizontal resistivity determined from the formation model; applying a convolution method to the derivative of the horizontal resistivity; and identifying a peak width of the convoluted derivative, wherein the uncertainty of the parameter includes the peak width. 16. The method of claim 13 , wherein the parameter includes any one or any combination of a horizontal resistivity, an anisotropy ratio, a boundary position of formation layers, and a formation dip. 17. The method of claim 11 , wherein generating the formation model comprises calculating a mean of the pixelated resistivity solutions. 18. The method of claim 17 , wherein the mean is calculated by not including outlier pixels among the pixelated solutions from the calculation. 19. A method of steering a drill bit in a subterranean earth formation, comprising: measuring formation data at different measurement depths in a wellbore intersecting the subterranean earth formation using a logging tool located in the wellbore; transmitting the formation data to a computer system comprising a processor at the surface of the earth; generating, with the processor, multiple distance-to-bed-boundary (DTBB) solutions at a measurement depth using a DTBB inversion method with the measured formation data for the measurement depth; identifying, with the processor, the DTBB solutions that satisfy a residual threshold relative to the measured formation data; converting, with the processor, only the identified solutions into pixelated solutions; generating, with the processor, a formation model based on the pixelated solutions; identifying a wellbore trajectory based on the formation model; and steering a drill bit according to the wellbore trajectory. 20. The method of claim 19 , further comprising determining an uncertainty of a parameter of the formation based on the formation model by calculating a derivative of a horizontal resistivity derived from the formation model, applying a convolution method to the derivative of the horizontal resistivity, and identifying a peak width of the convoluted derivative, wherein the uncertainty of the parameter includes the peak width.
operating with magnetic or electric fields produced or modified either by the surrounding earth formation or by the detecting device (with electromagnetic waves G01V3/30) · CPC title
of penetrated ground layers · CPC title
Processing data, e.g. for analysis, for interpretation, for correction · CPC title
Transmitting data to recording or processing apparatus; Recording data · CPC title
by electromagnetic energy, e.g. radio frequency · CPC title
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