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GCTesting Curvature’s Impact on Fractures*
Evan Staples1 and Kurt Marfurt2
Search and Discovery Article #41147 (2013)
Posted July 22, 2013
*Adapted from the Geophysical Corner column, prepared by the authors, in AAPG Explorer, July, 2013.
Editor of Geophysical Corner is Satinder Chopra ([email protected]). Managing Editor of AAPG Explorer is Vern Stefanic
1ConocoPhillips, Houston, Texas
([email protected])
2University of Oklahoma, Norman, Oklahoma
Fracture zones can be critical to improving or creating sufficient porosity and permeability in hydrocarbon reservoirs - with strain, along with lithology and thickness being the major controls. In this article we will use layer curvature as a proxy for strain induced by layer bending. We test our hypothesis using small-scale clay models, which provide a time history of folding and fracturing, and are commonly considered analogs for large-scale field structures. The experimental apparatus consisted of a horizontal table with one moveable sidewall, one stationary sidewall and a deforming base.
We present four experiments - one extensional and three compressional.
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We use wet clay with dimensions of 20 centimeters long, 15 centimeters wide and five centimeters thick. A laser scanner positioned above the clay cakes captured 3-D surface images. A typical experiment lasted approximately 30 minutes with a laser scan occurring every two minutes; this short duration eliminated clay drying as a variable. The curvature of the clay surface was calculated from the laser scans using commercial software, and the fractures were mapped on digital photographs of the clay surface. Curvature over the deformation area was calculated in each stage by placing three polygons at fixed locations and averaging the curvature within each polygon. The fracture intensity (FI) was calculated for these polygons by dividing total measured fracture length in each polygon by its area. In the extensional experiment, a basin formed above the moving plates with a synthetic normal fault on one side, and a system of antithetic-normal faults, fractures and a flexure on the other side (top of Figure 1). Curvature and fracture intensity measurements were conducted on the later side of the basin. The bottom of Figure 1 displays a suite of positive curvature images from initial through final stages. Fractures were first visible on the clay surface with a measured curvature of 2.53 x 10-3 cm-1. We observed that curvature and fracture intensity increased with time, but was dependent on fault movement. Normal faults started as individual segments and eventually joined up to form faults that spanned the entire clay model. At a critical point, fractures no longer accommodated the displacement; rather, normal faults accommodated displacement in the model. At this point, we ended the experiment. In the three compressional experiments, an anticline developed with fractures on the crest sub-parallel to the axial plane (top of Figure 2). Fractures were first visible on the clay surface with curvature ranging between 1.40 x 10-2 cm-1 to 2.13 x 10-2 cm-1. The bottom of Figure 2 shows a suite of positive curvature images initial to final stages for the 30-degree ramp. During the experiments we observed that curvature and fracture intensity qualitatively increased with time as initially hypothesized. Fractures initially accommodated the extensional displacement on the top of the anticline in individual segments; as the experiments progressed, the fracture segments began to connect and eventually generated faults to accommodate the increased displacement. At this point, fractures and curvature were no longer the principle features that accommodated displacement, and we stopped the experiments. Curvature increased over time with systematic deformation occurring in the extensional, 15-degree compressional ramp and 30-degree compressional ramp experiments. Deformation in the 45-degree compressional ramp was non-systematic, but followed a similar trend as that seen in the other two ramp experiments. Maximum curvature values varied based on the experimental setting, with the extensional value (7.5 x 10-3 cm-1) being one order of magnitude lower than the compressional settings (2.28 x 10-2 cm-2 to 1.78 x 10-2 cm-1). Calculated FI increased with curvature and correlations show a strong-positive linear relationship (Figure 3); however, fracturing did not occur at the same curvature value in each experiment. The extensional experiments showed fracturing initiation at a significantly lower curvature value (2.53 x 10-3 cm-1) than compressional experiments, where fracturing initiated at values one order of magnitude higher than extensional experiments. (2.13 x 10-2 cm-1, 1.62 x 10-2 cm-1, and 1.40 x 10-2 cm-1 for 45-degree, 30-degree and 15-degree ramps, respectively). We interpret differences in horizontal strain as the main reason there is such a disparity in fracturing and curvature values at fracture initiation. In the extensional experiment, we assume that horizontal strain occurred throughout the experiment, since the basement plates were constantly moving apart - though we only measured vertical displacement. In the compressional settings, however, an anticline had to develop and grow before horizontal strain was great enough on its crest to induce fracturing. The clay model experiment results suggest that curvature was the primary factor in fracture generation in controlled, laboratory settings. Assuming results from clay models show fracture patterns similar to real rocks, then clay-model results imply that curvature and fracture intensity follow a 3-phase curve of elastic deformation (no fractures), through linear correlation (Figure 3), to fracture saturation (movement along faults) when subsurface deformation involves basement reverse faulting or layer extension. In a future article we will show the correlation of curvature computed from 3-D seismic data to fractures seen in horizontal image logs. We would like to thank AAPG member Ze’ev Reches from the University of Oklahoma for help with this project and guidance in clay model setup and analysis. Additionally, we would like to thank Schlumberger for providing software for this research at the University of Oklahoma. |