Marine seismic imaging
US-2024094421-A1 · Mar 21, 2024 · US
US2016377754A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016377754-A1 |
| Application number | US-201514748737-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 24, 2015 |
| Priority date | Jun 24, 2015 |
| Publication date | Dec 29, 2016 |
| Grant date | — |
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Desirable completion zones can be identified using closure stress in combination with one or more other attributes such as porosity. One computer-based well placement method includes using the computer to: process a seismic data volume to map the spatial distribution of a seismic-based CSS attribute; acquire logs from one or more boreholes in the subsurface region; derive from the logs a relationship between CSS and a minimum in-situ stress; apply the relationship to the CSS attribute map to produce a landing map that highlights desirable completion zones; and place one or more wells in the desirable completion zones. The borehole logs may include direct measurements of minimum in-situ stress (acquired via microfracture testing), sonic tool measurements of P-wave and S-wave velocity, and density tool measurements of bulk formation density.
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What is claimed is: 1 . A computer-based well placement method that comprises: (a) accessing a seismic survey of a subsurface region with a computer; (b) processing the seismic survey with the computer to get an attribute map of the subsurface region, wherein the attribute map represents at least a spatial distribution of a seismic-based closure stress scalar (CSS); (c) using the computer to access logs from one or more boreholes in the subsurface region, the logs including at least microfracture testing and sonic logs; (d) deriving from the logs a relationship between a borehole-based CSS and a minimum in-situ stress; (e) applying the relationship to the attribute map with the computer to produce a landing map that highlights desirable completion zones; and (f) using the landing map to place one or more wells in the desirable completion zones. 2 . The method of claim 1 , wherein the logs include measurements of p-wave velocity, s-wave velocity, and density. 3 . The method of claim 1 , wherein said logs include microfracture test-based measurements of minimum in-situ stress. 4 . The method of claim 3 , wherein said deriving includes: (d1) determining acoustic impedances for p-waves and s-waves; (d2) calculating the borehole-based CSS from said acoustic impedances. 5 . The method of claim 1 , wherein the applying includes: (e1) calibrating the attribute map to match the borehole-based CSS, thereby obtaining a calibrated CSS map; and (e2) converting the calibrated CSS map to a minimum in-situ stress map. 6 . The method of claim 5 , wherein the applying further includes: (e3) cross-plotting minimum in-situ stress values with another attribute value; (e4) classifying regions of the cross-plot as representing desirable completion zones; and (e5) mapping the subsurface region using color to highlight areas associated with said regions of the cross-plot. 7 . The method of claim 5 , wherein the applying further includes: (e3′) mapping the subsurface region using color to highlight areas associated with relatively low values of minimum in-situ stress and relatively high values of porosity. 8 . A system for modeling a subsurface region, the system comprising: a memory having a well placement software module; and one or more processors coupled to the memory to execute the software module, the software module causing the one or more processors to perform a well placement method that includes: getting an attribute map of the subsurface region, wherein the attribute map represents at least a spatial distribution of a seismic-based closure stress scalar (CSS); deriving from core samples or logs acquired in one or more boreholes in the subsurface region a relationship between CSS and a minimum in-situ stress; applying the relationship to the attribute map to produce a landing map that highlights desirable completion zones; and determining placements for one or more wells in the desirable completion zones. 9 . The system of claim 8 , wherein the software module further causes the one or more processors to display a visual representation of the landing map with said well placements. 10 . The system of claim 8 , wherein said getting includes processing a seismic survey of the subsurface region to estimate P-wave impedance and S-wave impedance. 11 . The system of claim 10 , wherein said getting further includes calculating a seismic-based CSS attribute and adjusting the seismic-based CSS attribute to be calibrated with one or more borehole-based CSS values. 12 . The system of claim 8 , wherein said deriving includes: determining acoustic impedances for p-waves and s-waves; calculating the borehole-based CSS from said acoustic impedances. 13 . The system of claim 12 , wherein said logs include at least microfracture testing measurements of minimum in-situ stress, sonic tool measurements of P-wave velocity and S-wave velocity, and density tool measurements of density. 14 . The system of claim 8 , wherein the applying further includes: cross-plotting minimum in-situ stress values with another attribute value; classifying regions of the cross-plot as representing desirable completion zones; and mapping the subsurface region using color to highlight areas associated with said regions of the cross-plot. 15 . The system of claim 8 , wherein the applying further includes: mapping the subsurface region using color to highlight areas associated with relatively low values of minimum in-situ stress and relatively high values of porosity. 16 . A computer-based well placement method that comprises: (a) accessing a seismic survey of a subsurface region with a computer; (b) processing the seismic survey with the computer to get an attribute map of the subsurface region, wherein the attribute map represents at least a spatial distribution of a seismic-based closure stress scalar (CSS); (c) using the computer to access measurements of core samples from one or more boreholes in the subsurface region, the measurements including at least minimum in-situ stress, P-wave acoustic impedance, and S-wave acoustic impedance; (d) deriving from measurements a relationship between a borehole-based CSS and minimum in-situ stress; (e) applying the relationship to the attribute map with the computer to produce a landing map that highlights desirable completion zones; and (f) placing one or more wells in the desirable completion zones. 17 . The method of claim 16 , wherein said deriving includes: (d1) calculating the borehole-based CSS from said acoustic impedances; and (d2) fitting a linear dependence of minimum in-situ stress to the borehole-based CSS 18 . The method of claim 16 , wherein the applying includes: (e1) calibrating the attribute map to match the borehole-based CSS, thereby obtaining a calibrated CSS map; and (e2) converting the calibrated CSS map to a minimum in-situ stress map. 19 . The method of claim 18 , wherein the applying further includes: (e3) cross-plotting minimum in-situ stress values with another attribute value; (e4) classifying regions of the cross-plot as representing desirable completion zones; and (e5) mapping the subsurface region using color to highlight areas associated with said regions of the cross-plot. 20 . The method of claim 18 , wherein the applying further includes: (e3′) mapping the subsurface region using color to highlight areas associated with relatively low values of minimum in-situ stress and relatively high values of porosity.
specially adapted for well-logging · CPC title
Manufacturing, calibrating, cleaning, or repairing instruments or devices covered by groups G01V1/00 – G01V11/00 · CPC title
Impedance · CPC title
for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles · CPC title
Displaying seismic recordings {or visualisation of seismic data or attributes} · CPC title
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