The Austin Chalk formation has seen numerous periods of active development since the early 1980’s and has recently become a new focus as an unconventional resource. Due to the low permeability, fracturing, with proppant or acid, is required to economically produce the reservoir. This study presents the results of a series of conductivity tests performed to evaluate the stimulation efficiency of proppant fracturing and acid fracturing in the Austin Chalk. The study uses both downhole core and outcrop samples. The downhole cores were from an Austin Chalk well in Webb County, Texas. The outcrop samples were collected from similar Austin chalk sub-intervals that the core samples were from and were collected from a road cut in the Del Rio, Texas area. Testing samples were prepared for the fracture conductivity tests based on API RP-61. Fracture surfaces were created either by tensile fracturing the sample, or by saw-cutting. For acid fracture conductivity, 15% HCl was injected to create acid-etched surfaces, and the effect of acid contact time was investigated. For propped fracturing, proppant size and concentration were set as study parameters. The fracture surfaces were scanned before and after each experiment in order to characterize changes in the fracture surfaces, such as acid etching and proppant embedment. Proppant size distribution was measured by sieve tests before and after conductivity measurement to evaluate proppant crushing. Closure stress up to 6000 psi was applied during the conductivity measurements, and some experiments stopped before reaching this upper limit because the sample lost mechanical integrity under a lower closure stress. The study results show that because the mechanism of creating conductivity is different for acid fracturing and propped fracturing, the conductivities from the two stimulation methods behave differently. The initial conductivity varies but the level of conductivity at low closure stress generated from acid and proppant are similar. The conductivity from propped fracture exhibits a semi-log decline trend, with a low decline rate and sustained conductivity at high closure stress. The conductivity from the acid fracture experiments strongly depends on acid injection conditions and mechanical integrity of the rock after acidizing, indicating that design of the stimulation is critical for a successful treatment. Acid fracture conductivity in general declined more rapidly with increase in closure stress than did proppant conductivity. The observations from the experimental study revealed that both acidized and propped fractures have potential to create sufficient conductivities in the low permeability Austin Chalk formation.
When rocks are fractured in tension, the fracture surfaces created are rough, with a wide range of surface morphologies possible. In previous studies of propped fracture conductivity using fractured samples, the fracture surface topography was found to have a strong influence on fracture conductivity and stimulation efficiency. Fracture surface patterns (relatively uniform, randomly rough, step changes, ridges and valleys) strongly affect propped fracture conductivity. Different types of surfaces can result in propped fracture conductivities differing by an order of magnitude or more for identical proppant loading conditions. To generate quantitative correlations including surface topographic effects, consistent samples with well-defined surfaces should be used in the experiments. However, when using actual rock samples to create realistic fracture surfaces by fracturing them in tension, the surfaces created are never the same, even using small samples all taken from the same block. This lack of repeatability in fracture surfaces greatly complicates identification of the effects of the rough surfaces on propped fracture conductivity. To overcome this, we created repeatable rough fracture surfaces using 3D-printing technology. First, we geostatistically generated a numerical depiction of a rough fracture surface. Then the surface was printed with resin using a 3D-printer. The hardened resin model of the rock sample was used to make a mold, which was in turn used to create a rock sample made of cement. High strength cement was used so that the samples had similar mechanical properties to unconventional reservoir rocks. With this methodology, we created multiple samples with identical surface roughness and features, allowing us to isolate and test other parameters, such as proppant size and concentration. Fracture conductivity tests were conducted using a modified API conductivity cell and artificial rock samples that are nominally 7 inches long and 2 inches wide. A well-established protocol to generate propped fracture conductivity as a function of closure stress was employed to test three different proppant concentrations on identical rough surfaces. For all three experiments, 100 mesh sand was used. The study demonstrates how proppant concentration affects propped fracture conductivity behavior in a systematic way.
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