Method for determination of earth stratum elastic parameters using seismic energy

• US 4,924,390 A
• Filed: 02/22/1988
• Issued: 05/08/1990
• Est. Priority Date: 03/04/1985
• Status: Expired due to Term

• Current Assignee: Conoco Incorporated (ConocoPhillips)
• Original Assignee: Conoco Incorporated (ConocoPhillips)
• Inventors: Parsons, Roger, Stolt, Robert H.
• Primary Examiner(s): Smith, Jerry
• Assistant Examiner(s): Meyer, Charles B.
• Application Number:
  US07/161,257
• Time in Patent Office: 806 Days
• Field of Search: 364/420, 364/421, 367/37, 367/38, 367/14, 367/75, 367/117, 367/68
• US Class Current: 702/14
• CPC Class Codes: G01V 1/306 for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles

Abstract

A method of processing seismic data involves the input of common depth point data for determination of obliquity of downward propagating energy. Data having known surface offset and travel time is then processed with interval velocities along the depth of survey to solve by matrix inversion for the earth elastic parameters at selected depths.

Claims

1. A method of seismic data processing to extract relative elastic parameter data output, comprising:

obtaining and pre-processing seismic data along a selected survey line overlying locally layered substrata that necessarily exhibit locally negligible lateral change in elastic parameters;

sorting the seismic data into data groups having the same common basement point;

2. A method as set forth in claim 1 wherein:

the data group reflection strength equates to the product of the geometrical divergence and the obliquity factor.

3. A method as set forth in claim 2, wherein the step of determining for each data group and obliquity factor comprises:

solving a linear system that equates to the obliquity factor by matrix inversion.

outputting a display section of relative amplitude data for the seismic data groups;

determining for each data group the geometrical divergence for each selected depth at each shotreceiver offset;

determining for each data group an obliquity factor that is a function of the angle of incidence of seismic energy at the particular depth and the relative changes in selected elastic parameters at that depth; and

outputting data group reflection strength indication of the relative changes in elastic parameters for at least one of pressure modulus, density, and shear modulus for selected depths for comparison to the section of relative amplitude seismic data for the data group in order to establish likelihood of subterrain quality.

4. A method of seismic data processing to extract relative elastic parameter data output, comprising:

(a) obtaining and pre-processing seismic data along a survey line in selected terrain overlying locally layered substrata that necessarily exhibit locally negligible lateral change in elastic parameters;

(b) inputting the seismic data for selected terrain for sorting to produce groups of seismic trace data having the same common depth point;

(c) outputting a section display of relative amplitude data for the seismic trace data groups;

(d) estimating seismic energy interval velocities as a function of depth for said terrain;

(e) determining the offset, divergence and travel time as a function of the angle of incidence for selected depths for each seismic trace data group;

(f) deriving the divergence and travel time data as functions of offset and depth and expressing each trace data group as a function of offset and selected depths;

(g) determining the data group obliquity factor as a linear system that is a function of offset and selected depth;

(h) solving the linear system by matrix inversion to derive elastic parameter relative values of pressure modulus, density and shear modulus for the data group selected depths; and

(i) outputting the relative values of pressure modulus, density, and shear modulus for comparison with previous relative amplitude data for the same data group in order to determine likelihood of the subterrain quality.

5. A method as set forth in claim 4 which further includes:

repeating steps (c) through (f) for each depth of interest for the data group.