PageSourceSearch

https://www.s-cube.com/_next/static/chunks/app/(main)/case-studies/page-f1bb7ae41e56638f.js

js s-cube.com collected 2026-09-25 15:27:20 UTC 7,060 bytes, 1 lines download raw bytes

1(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[6300],{4648:(e,t,s)=>{"use strict";s.d(t,{default:()=>r});var i=s(95155),n=s(66766),a=s(12115);function o(e){let{image1:t,image2:s,subtitle:o,subtitle1:r,subtitle2:l}=e,[c,d]=(0,a.useState)(!1),u=[t,s],m=[];return r&&l&&(m.push(r),m.push(l)),(0,i.jsxs)("div",{className:"relative",children:[(0,i.jsx)(n.default,{className:"rounded-md",src:c?u[1]:u[0],alt:(null==m?void 0:m.length)>0?c?m[1]:m[0]:o,width:0,height:400,sizes:"100vw",style:{width:"100%",minWidth:250,objectFit:"cover"}}),(0,i.jsxs)("button",{onClick:()=>{d(!c)},className:"absolute h-7 top-1 left-1/2 -translate-x-1/2 flex items-center justify-center bg-blue-500 text-white text-sm font-bold py-2 px-5 rounded-lg shadow-lg hover:bg-blue-700 focus:outline-none focus:ring-2 focus:ring-blue-500 focus:ring-opacity-50 transition-all duration-200 ease-in-out",children:[(0,i.jsx)("svg",{xmlns:"http://www.w3.org/2000/svg",className:"h-5 w-5 mr-2",fill:"none",viewBox:"0 0 24 24",stroke:"currentColor",strokeWidth:2,children:(0,i.jsx)("path",{strokeLinecap:"round",strokeLinejoin:"round",d:"M8 7h12m0 0l-4-4m4 4l-4 4m0 6H4m0 0l4 4m-4-4l4-4"})}),"Before/After"]}),(0,i.jsx)("span",{className:"text-xs text-gray-400 mt-1 block",children:m.length>0?c?m[1]:m[0]:o})]})}function r(){return(0,i.jsxs)("div",{children:[(0,i.jsx)("h1",{className:"text-4xl font-bold",children:"Breathing New Life into Vintage Land Seismic Surveys with Next-Generation FWI"}),(0,i.jsxs)("div",{className:"text-center mt-10",children:[(0,i.jsx)(n.default,{className:"rounded-md",src:"/case-studies/juneaugc/Juneau_Golf Coast-LocationMap.png",alt:"Survey map of merged datasets with shots and receivers overlaid",width:0,height:300,sizes:"100vw",style:{width:"100%",minWidth:250,objectFit:"cover"}}),(0,i.jsxs)("span",{className:"text-xs text-gray-600",children:["Survey map of merged datasets with shots (red) and recievers (white) overlaid."," ",(0,i.jsx)("span",{className:"italic",children:"EPSG:26782 - NAD27 / Louisiana South."})]})]}),(0,i.jsx)("p",{className:"mt-4",children:"Acquired across multiple surveys in the 1990s, the data lacks low frequencies, long offsets, and is sparse. Further complications arise due to the topography and near surface effects. The input data for FWI was minimally preprocessed - denoising and wavelet consistency. S-Cube applied its proprietary Adaptive Waveform Inversion (AWI) and Reflection Waveform Inversion (RWI) workflow to refine the model to 20Hz. Unlike conventional FWI, AWI overcomes cycle skipping, is more sensitive to reflection moveout, and is less impacted by amplitude mismatches. RWI further strengthens the velocity update by focusing on reflection kinematics, working effectively even with multiples and ghosts."}),(0,i.jsx)("div",{className:"text-center mt-4",children:(0,i.jsx)(o,{image1:"/case-studies/juneaugc/juneau_gulf_coast_predicted_seismic_data.png",subtitle1:"Predicted seismic data generated from our final FWI model, showing a close match to the field data.",image2:"/case-studies/juneaugc/juneau_gulf_coast_field_seismic_data.png",subtitle2:"The challenging vintage field seismic data from the Gulf Coast survey."})}),(0,i.jsx)("h2",{className:"text-2xl font-bold mt-4",children:"Proprietary AWI and RWI Workflow"}),(0,i.jsxs)("p",{className:"mt-4",children:["S-Cube then applied its proprietary"," ",(0,i.jsx)("b",{children:(0,i.jsx)("i",{children:"Adaptive Waveform Inversion (AWI)"})})," ","and"," ",(0,i.jsx)("b",{children:(0,i.jsx)("i",{children:"Reflection Waveform Inversion (RWI)"})})," ","workflow to refine the model to 20Hz. Unlike conventional FWI, AWI overcomes cycle skipping, is more sensitive to reflection moveout, and is less impacted by amplitude mismatches. RWI further strengthened the velocity update by focusing on reflection kinematics, working effectively even with multiples and ghosts."]}),(0,i.jsx)("div",{className:"text-center mt-4",children:(0,i.jsx)(o,{image2:"/case-studies/juneaugc/juneau_gulf_coast_tomography_velocity_model.png",subtitle2:"Initial Tomography Velocity Model",image1:"/case-studies/juneaugc/juneau_gulf_coast_20Hz_xwi_fwi_velocity_model.png",subt
1itle1:"S-Cube's 20Hz XWI FWI Velocity Model"})}),(0,i.jsx)("h2",{className:"text-2xl font-bold mt-4",children:"Unlocking New Potential in Old Surveys"}),(0,i.jsx)("p",{className:"mt-4",children:"The resulting 45Hz Reverse Time Migration (RTM) image is structurally simpler, sharper, and far superior to the legacy migration - reducing noise, improving focus, and enhancing subsurface clarity. Remarkably, these results were achieved on surveys acquired over 25 years ago, proving that S-Cube’s next-generation FWI workflow can breathe new life into vintage datasets once considered unsuitable for inversion."}),(0,i.jsx)("div",{className:"text-center mt-4",children:(0,i.jsx)(o,{image1:"/case-studies/juneaugc/legacy_vs_rtm.png",image2:"/case-studies/juneaugc/legacy_vs_rtm1.png",subtitle:"The final RTM image shows significant uplift in focus and structural clarity over the legacy PSDM."})}),(0,i.jsx)("p",{className:"mt-4",children:"Even with non-ideal acquisition, our workflow delivers high-resolution seismic images that increase confidence in interpretation and unlocks new exploration opportunities."})]})}},7053:(e,t,s)=>{Promise.resolve().then(s.t.bind(s,6874,23)),Promise.resolve().then(s.t.bind(s,33063,23)),Promise.resolve().then(s.bind(s,4648)),Promise.resolve().then(s.bind(s,10549))},10549:(e,t,s)=>{"use strict";s.d(t,{Accordion:()=>r,AccordionContent:()=>d,AccordionItem:()=>l,AccordionTrigger:()=>c});var i=s(95155);s(12115);var n=s(61484),a=s(66474),o=s(59434);function r(e){let{...t}=e;return(0,i.jsx)(n.bL,{"data-slot":"accordion",...t})}function l(e){let{className:t,...s}=e;return(0,i.jsx)(n.q7,{"data-slot":"accordion-item",className:(0,o.cn)("border-b last:border-b-0",t),...s})}function c(e){let{className:t,children:s,...r}=e;return(0,i.jsx)(n.Y9,{className:"flex",children:(0,i.jsxs)(n.l9,{"data-slot":"accordion-trigger",className:(0,o.cn)("focus-visible:border-ring focus-visible:ring-ring/50 flex flex-1 items-start justify-between gap-4 rounded-md py-4 text-left text-sm font-medium transition-all outline-none hover:underline focus-visible:ring-[3px] disabled:pointer-events-none disabled:opacity-50 [&[data-state=open]>svg]:rotate-180",t),...r,children:[s,(0,i.jsx)(a.A,{className:"text-muted-foreground pointer-events-none size-4 shrink-0 translate-y-0.5 transition-transform duration-200"})]})})}function d(e){let{className:t,children:s,...a}=e;return(0,i.jsx)(n.UC,{"data-slot":"accordion-content",className:"data-[state=closed]:animate-accordion-up data-[state=open]:animate-accordion-down overflow-hidden text-sm",...a,children:(0,i.jsx)("div",{className:(0,o.cn)("pt-0 pb-4",t),children:s})})}},59434:(e,t,s)=>{"use strict";s.d(t,{cn:()=>a});var i=s(52596),n=s(39688);function a(){for(var e=arguments.length,t=Array(e),s=0;s<e;s++)t[s]=arguments[s];return(0,n.QP)((0,i.$)(t))}}},e=>{e.O(0,[6766,4277,6874,2313,8441,5964,7358],()=>e(e.s=7053)),_N_E=e.O()}]);

Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.