A New Approach for Interference Test Analysis: Quantifying the Degree of Production Impact

This blog post summarizes a new procedure for interpreting interference tests in shale. The full procedure and a detailed writeup are provided by Almasoodi et al. (2023). Interference tests are one of the most effective diagnostics for assessing communication between neighboring wells. This information is critical for optimizing completion design and well spacing.

Optimization of perforation orientation for achieving uniform proppant distribution between clusters

Previously, a mathematical model for the problem of slurry flow in a perforated wellbore was described and the underlying physical mechanisms were discussed. The purpose of this blog post, on the other hand, is to couple the model with an optimization algorithm to investigate optimal perforation orientations that lead to the desired uniform proppant distribution between perforations. A brief description of the model is added at the beginning to cater for readers who are not familiar with the previous blog post.

Interesting papers from the 2023 SPE Hydraulic Fracturing Technology Conference

The 2023 SPE Hydraulic Fracturing Technology Conference was last week, and as usual, it had an outstanding lineup of papers and speakers. This blog post has a brief lineup of some of the papers that I found most interesting. As in past years, this rundown focuses on papers that I found interesting, based on my own personal interests. Usually, I am most interested in papers that improve our understanding ‘what’s going on’ in the subsurface. Also, I coauthored a paper at the conference, so naturally, I can’t help but include it on this list!

Proppant distribution between perforation clusters

This blog post summarizes the model for calculating proppant distribution between perforation clusters. A very detailed description of the model and literature review are available in [1]. The purpose here is to outline the model and its main features, to demonstrate the comparison with some of the available data (more comparisons in [1]), as well as to discuss limiting cases and sensitivities to various parameters. This blog post is solely focused on presenting the mathematical model. In future work, the results will be applied to practical optimization decisions.

DOE Innovators Roundtable on Enhanced Geothermal Systems with Secretary Granholm

This week, the US Secretary of Energy, Jennifer Granholm, was in Houston to announce an ‘Earthshot’ initiative to accelerate domestic production of zero-emission, baseload geothermal energy  Secretary Granholm announced the initiative at a press conference, and then hosted a roundtable discussion with Reginald DesRoches, the president of Rice University, and a group of innovators in the geothermal space. ResFrac CEO Mark McClure was one of the participants in the roundtable. Sec. Granholm asked him how to increase engagement from the oil and gas industry in geothermal.

ResFrac’s Automated Economic Optimization Tool

simulation with five wells in a hypothetical formation with two pay zones. In the base simulation, all the wells are landed in the upper pay zone. However, the algorithm is given the option to vary the landing depth of the second and fourth wells. The figures below show the ‘baseline’ simulation.

ResFrac’s automated optimization tool allows you to quickly and easily identify the economically best well spacing and frac design. This blog post steps through a simple demo of our built-in economics engine that is similar to those used by commercial software in the industry. It accounts for details such as working interest, different types of taxes, time-varying operations cost, etc.

Why Multistage Stimulation Could Transform the Geothermal Industry

Flow rate is a major challenge for geothermal. However, the techniques used in shale to prevent flow localization can be applied directly to geothermal. If we can create hundreds or thousands of flowing fracture pathways around a horizontal or deviated geothermal well, then we will have truly “changed the game.” Read the article at the Journal of Petroleum Technology.