4D noise suppression

A system for suppressing 4D noise, the method comprising:

• a plurality of receivers;
• and
• a computer system configured to:
• calculate a first similarity map, S1, based at least on a similarity of one, I1, of one or more first 3D images and a second 3D image, I2, wherein the one or more first 3D images are derived from a first survey recorded during a first time period from data acquired by the receivers, and the second 3D image is derived from a second survey recorded during a second time period from data acquired by the receivers;
• calculate a second similarity map, S2, based at least on a similarity of the one of the one or more first 3D images and a third 3D image, I3, wherein the third 3D image is derived from the second survey and is different from the second 3D image;
• calculate a third similarity map, SD, based at least on a similarity of first, D1, and second, D2, 4D images, wherein the first 4D image is based on a difference between the one of the one or more first 3D images and the second 3D image, and the second 4D image is based on a difference between the one of the one or more first 3D images and the third 3D image;
• and
• generate a composite 4D image based at least on the first, second, and third similarity maps,
• wherein similarity represents how much respective images are alike.

A non-transitory computer-readable medium containing instructions operable, when executed by a processor, to:

• calculate a first similarity map, S1, based at least on a similarity of one, I1, of one or more first 3D images and a second 3D image, I2, wherein the one or more first 3D images are derived from a first survey recorded during a first time period, and the second 3D image is derived from a second survey recorded during a second time period;
• calculate a second similarity map, S2, based at least on a similarity of the one of the one or more first 3D images and a third 3D image, I3, wherein the third 3D image is derived from the second survey;
• calculate a third similarity map, SD, based at least on a similarity of first, D1, and second, D2, 4D images, wherein the first 4D image is based on a difference between the one of the one or more first 3D images and the second 3D image, and the second 4D image is based on a difference between the one of the one or more first 3D images and the third 3D image;
• and
• generate a composite 4D image based at least on the first, second, and third similarity maps,
• wherein any similarity represents how much respective images are alike.