. . . "In geophysics and reflection seismology, amplitude versus offset (AVO) or amplitude variation with offset is the general term for referring to the dependency of the seismic attribute, amplitude, with the distance between the source and receiver (the offset). AVO analysis is a technique that geophysicists can execute on seismic data to determine a rock's fluid content, porosity, density or seismic velocity, shear wave information, fluid indicators (hydrocarbon indications)."@en . . . . . . . . . "In geophysics and reflection seismology, amplitude versus offset (AVO) or amplitude variation with offset is the general term for referring to the dependency of the seismic attribute, amplitude, with the distance between the source and receiver (the offset). AVO analysis is a technique that geophysicists can execute on seismic data to determine a rock's fluid content, porosity, density or seismic velocity, shear wave information, fluid indicators (hydrocarbon indications). The phenomenon is based on the relationship between the reflection coefficient and the angle of incidence and has been understood since the early 20th century when Karl Zoeppritz wrote down the Zoeppritz equations. Due to its physical origin, AVO can also be known as amplitude versus angle (AVA), but AVO is the more commonly used term because the offset is what a geophysicist can vary in order to change the angle of incidence. (See diagram)"@en . . . . . . . . . . . . . . . "\u632F\u5E45\u968F\u504F\u79FB\u8DDD\u7684\u53D8\u5316"@zh . "1095812191"^^ . . "10524"^^ . . . . "Amplitude versus offset"@en . . . . . . "\u632F\u5E45\u968F\u504F\u79FB\u8DDD\u7684\u53D8\u5316\uFF08\u82F1\u8A9E\uFF1Aamplitude versus offset AVO\uFF09\u5728\u5730\u7403\u7269\u7406\u5B78\u548C\u53CD\u5C04\u5730\u9707\u5B78\u4E2D\uFF0CAVO\u662F\u6307\u632F\u5E45\u8207\u504F\u79FB\u8DDD\uFF08\u9707\u6E90\u548C\u6AA2\u6CE2\u5668\u4E4B\u9593\u7684\u8DDD\u96E2\uFF09\u4E4B\u9593\u7684\u8B8A\u5316\u3002 AVO \u7684\u5206\u6790\u80FD\u63D0\u4F9B\u5CA9\u77F3\u7684\u6D41\u9AD4\u542B\u91CF\u3001\u5B54\u9699\u5EA6\u3001\u5BC6\u5EA6\u6216\u5730\u9707\u901F\u5EA6\u3001\u526A\u5207\u6CE2\u4FE1\u606F\u3001\u6D41\u9AD4\u6307\u6A19\uFF08\u70F4\u6307\u793A\uFF09\u7684\u4FE1\u606F\u3002\u73FE\u4EE3\u591A\u983B\u9053\u5730\u9707\u53CD\u5C04\u52D8\u6E2C\u7684\u63A1\u96C6\u65B9\u5F0F\u662F\u5C0D\u5730\u4E0B\u7684\u540C\u4E00\u9EDE\u9032\u884C\u591A\u6B21\u63A1\u6A23\uFF0C\u6BCF\u6B21\u5730\u9707\u53CD\u5C04\u6CE2\u7684\u4FE1\u865F\u5177\u6709\u4E0D\u540C\u7684\u504F\u79FB\u8DDD\u6216\u5165\u5C04\u89D2\u3002\u5728\u8655\u7406\u5730\u9707\u6578\u64DA\u6642\uFF0C\u9700\u8981\u4FDD\u7559\u5730\u9707\u53CD\u5C04\u6CE2\u7684\u632F\u5E45\uFF0C\u4E26\u627E\u51FA\u540C\u4E00\u53CD\u5C04\u70B9\u9053\uFF0C\u4F46\u4E0D\u540C\u504F\u79FB\u8DDD\u7684\u53CD\u5C04\u6CE2\uFF0C\u7D44\u6210\u5171\u53CD\u5C04\u70B9\u9053\u96C6\uFF08\u82F1\u8A9E\uFF1Acommon depth point gather\uFF0C\u6309\u504F\u79FB\u91CF\u589E\u52A0\u7684\u9806\u5E8F\u6392\u5E8F\u3002\u57F7\u884C\u632F\u5E45\u5206\u6790\u3002 AVO\u7684\u589E\u52A0\u901A\u5E38\u5C0D\u9AD8\u5B54\u9699\u7387\u3001\u4F4E\u5BC6\u5EA6\u542B\u6C23\u6C89\u7A4D\u7269\u5C24\u70BA\u660E\u986F\uFF0C\u4F8B\u5982\u91DD\u5C0D\u5728\u58A8\u897F\u54E5\u7063\u3001\u897F\u975E\u548C\u5176\u4ED6\u4E3B\u8981\u4E09\u89D2\u6D32\u7684\u7684\u665A\u7B2C\u4E09\u7D00\u6FC1\u7A4D\u7802\u5CA9\uFF0C\u5927\u591A\u6578\u4E3B\u8981\u516C\u53F8\u901A\u5E38\u4F7F\u7528 AVO \u6280\u8853\u4F86\u964D\u4F4E\u52D8\u63A2\u7684\u98A8\u96AA\u3002\u4F46\u7531\u4E8E\u5730\u9707\u6570\u636E\u7684\u5206\u8FA8\u7387\u6709\u9650\uFF0CAVO \u6280\u672F\u4E5F\u5C31\u6709\u5B83\u7684\u5C40\u9650\u6027 \u3002"@zh . . . . . . . . . . "1919954"^^ . "\u632F\u5E45\u968F\u504F\u79FB\u8DDD\u7684\u53D8\u5316\uFF08\u82F1\u8A9E\uFF1Aamplitude versus offset AVO\uFF09\u5728\u5730\u7403\u7269\u7406\u5B78\u548C\u53CD\u5C04\u5730\u9707\u5B78\u4E2D\uFF0CAVO\u662F\u6307\u632F\u5E45\u8207\u504F\u79FB\u8DDD\uFF08\u9707\u6E90\u548C\u6AA2\u6CE2\u5668\u4E4B\u9593\u7684\u8DDD\u96E2\uFF09\u4E4B\u9593\u7684\u8B8A\u5316\u3002 AVO \u7684\u5206\u6790\u80FD\u63D0\u4F9B\u5CA9\u77F3\u7684\u6D41\u9AD4\u542B\u91CF\u3001\u5B54\u9699\u5EA6\u3001\u5BC6\u5EA6\u6216\u5730\u9707\u901F\u5EA6\u3001\u526A\u5207\u6CE2\u4FE1\u606F\u3001\u6D41\u9AD4\u6307\u6A19\uFF08\u70F4\u6307\u793A\uFF09\u7684\u4FE1\u606F\u3002\u73FE\u4EE3\u591A\u983B\u9053\u5730\u9707\u53CD\u5C04\u52D8\u6E2C\u7684\u63A1\u96C6\u65B9\u5F0F\u662F\u5C0D\u5730\u4E0B\u7684\u540C\u4E00\u9EDE\u9032\u884C\u591A\u6B21\u63A1\u6A23\uFF0C\u6BCF\u6B21\u5730\u9707\u53CD\u5C04\u6CE2\u7684\u4FE1\u865F\u5177\u6709\u4E0D\u540C\u7684\u504F\u79FB\u8DDD\u6216\u5165\u5C04\u89D2\u3002\u5728\u8655\u7406\u5730\u9707\u6578\u64DA\u6642\uFF0C\u9700\u8981\u4FDD\u7559\u5730\u9707\u53CD\u5C04\u6CE2\u7684\u632F\u5E45\uFF0C\u4E26\u627E\u51FA\u540C\u4E00\u53CD\u5C04\u70B9\u9053\uFF0C\u4F46\u4E0D\u540C\u504F\u79FB\u8DDD\u7684\u53CD\u5C04\u6CE2\uFF0C\u7D44\u6210\u5171\u53CD\u5C04\u70B9\u9053\u96C6\uFF08\u82F1\u8A9E\uFF1Acommon depth point gather\uFF0C\u6309\u504F\u79FB\u91CF\u589E\u52A0\u7684\u9806\u5E8F\u6392\u5E8F\u3002\u57F7\u884C\u632F\u5E45\u5206\u6790\u3002 AVO\u7684\u589E\u52A0\u901A\u5E38\u5C0D\u9AD8\u5B54\u9699\u7387\u3001\u4F4E\u5BC6\u5EA6\u542B\u6C23\u6C89\u7A4D\u7269\u5C24\u70BA\u660E\u986F\uFF0C\u4F8B\u5982\u91DD\u5C0D\u5728\u58A8\u897F\u54E5\u7063\u3001\u897F\u975E\u548C\u5176\u4ED6\u4E3B\u8981\u4E09\u89D2\u6D32\u7684\u7684\u665A\u7B2C\u4E09\u7D00\u6FC1\u7A4D\u7802\u5CA9\uFF0C\u5927\u591A\u6578\u4E3B\u8981\u516C\u53F8\u901A\u5E38\u4F7F\u7528 AVO \u6280\u8853\u4F86\u964D\u4F4E\u52D8\u63A2\u7684\u98A8\u96AA\u3002\u4F46\u7531\u4E8E\u5730\u9707\u6570\u636E\u7684\u5206\u8FA8\u7387\u6709\u9650\uFF0CAVO \u6280\u672F\u4E5F\u5C31\u6709\u5B83\u7684\u5C40\u9650\u6027 \u3002"@zh . . . . . .