METHOD AND SYSTEM FOR MEASURING SUBSIDENCE
20180073870 · 2018-03-15
Inventors
- Helge Brandsaeter (Hamresanden, NO)
- Bjarte Fagerås (Fana, NO)
- Magne Oldervoll (Os, NO)
- Leon Løvheim (Bergen, NO)
- John Even Lindgård (Harstad, NO)
Cpc classification
G01B21/20
PHYSICS
G01V2210/661
PHYSICS
International classification
Abstract
A method for measuring subsidence and/or uprise on a field, comprises the steps of: deploying at least one cable on a solid surface; collecting inline tilt data from numerous tilt sensors deployed along each cable (100); and performing a statistical analysis on the tilt data to determine changes in curvature on the solid surface. Preferably, the statistical method involves computing a cumulative inline and/or cross-line tilt, whereby random errors cancel and systematic changes add. In addition, regression and/or interpolation may provide a quantitative estimate of curvature etc.
Claims
1-10. (canceled)
11. A method for measuring subsidence and/or uprise on a field, comprising the steps of: deploying at least one cable on a solid surface; collecting inline tilt data from numerous tilt sensors deployed along each cable; and performing a statistical analysis on the tilt data to determine changes in curvature on the solid surface.
12. The method according to claim 11, wherein the statistical analysis involves computing a cumulative inline tilt as a sum of collected tilt data from tilt sensors disposed along one cable.
13. The method according to claim 12, further comprising the step of adding several cumulative inline tilts.
14. The method according to claim 11, wherein the statistical analysis involves computing a cumulative cross-line tilt as a sum of collected tilt data from tilt sensors disposed along one cross-line extending perpendicular to several essentially parallel cables.
15. The method according to claim 14, further comprising the step of adding several cumulative cross-line tilts.
16. The method according to claim 11, further comprising the step of repeating the steps at predetermined intervals.
17. The method according to claim 11, further comprising the step of performing a regression analysis on the tilt data in order to obtain an estimate of a curvature on the solid surface.
18. The method according to claim 11, wherein a sign of tilt data is conserved to provide a difference between subsidence and uplift.
19. A system measuring subsidence and/or uprise on a field, comprising several cables with seismic stations arranged at regular intervals, each seismic station comprising a tilt sensor and the cables being arranged essentially parallel in an array, wherein each seismic station is connected through the array at base station and an umbilical to a control unit for performing the method of claim 11.
20. The system according to claim 19, wherein the solid surface is a seafloor above a subsurface formation to be monitored.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0021] The invention will be explained by means of examples and reference to the drawings, in which:
[0022]
DETAILED DESCRIPTION
[0023]
[0024] Each cable 100 provides several seismic stations 110, 140 with power and communication. Seismic stations 110, 140 are placed along the entire length of each cable 100, but most of them are omitted from
[0025]
[0026] For useful subsidence measurements, vertical displacement less than 10 cm should be detectable. Thus, 50 m between seismic stations in the inline direction corresponds to an angle <arctan(10.sup.2/50)=0.2. Similarly, a cross-line spacing of 200 m corresponds to <0.06 and a cross-line spacing of 500 m corresponds to <0.02.
[0027] It is possible to detect subsidence by mapping a polygonal mesh to the solid surface, e.g. the seafloor above a formation, and monitoring the mesh in a time-lapse sequence. In this case, tilt sensors within the seismic stations 110, 140 could provide spatial derivatives in the x and y-directions. If each tilt sensor is able to detect tilt changes less than 0.06 and the spacing of the cables 100 is less than 200 m, then the edges of the mesh are easily determined. In addition or alternatively, the corners of the mesh may be determined by pressure sensors capable of detecting pressure changes less than approximately 10.sup.1m/(10 m/bar)=0.01 bar.
[0028] However, the tilt sensors within the seismic stations 110, 140 are generally not designed with the accuracy discussed above. Similarly, some or all seismic stations 110, 140 may lack pressure sensors with the required sensitivity and/or means to filter noise in pressure data due to waves on the surface.
[0029] However, it may be possible to use statistical analysis to cancel out presumed stochastic variations in accuracy of the tilt sensors already present in the seismic stations 110, 140. If so, it will also be possible to provide those seismic stations 110, 140 that do not already have tilt sensors with relatively inexpensive tilt sensors, typically based on MEMS accelerometers.
[0030] Returning to
[0031] From
[0032] A similar argument applies to the cross-line direction. The angle implies a greater tilt in the y-z plane, which is equivalent to the cross-line direction. The sum of tilts along one cross-line 10, 20 is termed a cumulative cross-line tilt, and a sum of cumulative cross-line tilts of several or all cross-lines 10, 20 is expected to provide a better indication of subsidence than each individual cumulative cross-line tilt.
[0033] In short, the sum of cumulative inline tilts, possibly added to the sum of cumulative cross-line tilts, provides a fast and accurate indication of the presence of subsidence. Obviously, the presence of an uprise could be determined in the same manner.
[0034] Alternatively or additionally, there may be a desire to map the solid surface by means of inexpensive tilt sensors rather than just determine the presence of subsidence or uplift as discussed above. It is readily seen that regression analysis or known interpolation techniques can be employed inline and cross-line to obtain estimates for edges of the polygonal mesh, and hence quantitative estimates for curvature etc., using the ideas discussed above.
[0035] So far, the basic observed variable, i.e. tilt, has been described as deviation from a horizontal plane, i.e. the x-y plane in
[0036] The direction of tilt must of course be preserved in order to detect a difference between subsidence and uplift, whereas a sum involving squared basic variables may be employed if only subsidence or only uplift are of interest. Also, partial sums may be used if some part of the solid area is prone to uplift and other parts are prone to subsidence. Selecting suitable basic variables and constructing appropriate sums are considered well within the capabilities of one skilled in the art knowing the present disclosure and knowing the application at hand.
[0037] Thus, while the invention has been described by way of examples, the scope of the invention is determined by the accompanying claims.