Robert Jackson in Calgary and David Craig in Denver have been planning DFITpro for more than five years. After two false starts, and more than $200,000 in development costs spent trying to make our ideas come to life, we still didn’t have a software product that approached our vision. Admittedly, part of the problem was not being able to clearly articulate the “vision” to programmers, but the bigger problem was that our core technology kept improving as we developed and applied new analysis techniques to hundreds of field DFIT data sets.
Our financial investment (loss) has become our customers’ gain as the software product we are deploying has been field tested with literally thousands of DFIT from around the globe.
As our analysis methodology improved technically and evolved into the well-test analysis workflow at the core of DFITpro, computing technology was also improving with the internet beginning to provide the IT backbone of industry. Concurrently, multicore processors were rapidly developing along with the software tools to take advantage of multicore capabilities. and GPU (graphics processing unit) numerical computing was also beginning to hit mainstream computing.
Recent developments meant that many flow solutions previously deemed too numerically intensive and slow to be commercial could now be programmed to take advantage of the massive parallel computation powers of high-end GPUs. While on the one hand, new solutions could now be easily and quickly computed, the software required specific hardware to realize the potential of parallel computation; thus, all new users would have to be prepared to purchase both software and hardware. Ugh.
Enter the cloud. The cloud provides the hardware and a platform for the software that can be accessed anywhere and anytime via the internet. The cloud eliminates physical software distribution and associated licenses and allows anyone to view and run the software through a web browser. With cloud-based DFIT software and hardware, the most advanced well-test analysis techniques are available to every user anywhere, anytime.
One of the biggest concerns with any cloud-based solution is security. Hackers continue to have a field day finding security lapses in government and industry networks, and while DFITpro will be a relatively small player in the cloud world, we take security seriously. DFITpro is implementing programming best practices to minimize potential security breaches, and we lean on the security expertise of the Azure cloud network to provide baseline security, and the web transaction expertise of PayPal's network to protect customers when using Visa, MasterCard, American Express, Discover, or PayPal.
DFITpro does NOT store credit card information. As a matter of fact, DFITpro will not store any well data, pressure, or production data in a database unless a customer specifically requests long-term storage options. When we do store customer data, it is encrypted to provide an additional level of security. An analyst can feel safe using the software and knowing that their data is protected.
There are advantages, of course, to storing data in the cloud because it allows access to an interpretation from anywhere in the world and at anytime, and cloud storage also enables rapid comparisons of one test versus another within DFITpro.
DFITpro will store usernames, user information, user passwords, and the well location information contained in a United States well number (formerly, an API number) or Canadian well number. Well location data is only stored to locate a pin on a map, but the well name, formation, etc., are never stored on DFITpro servers unless specifically requested by the user.
Robert Jackson through BOE Solutions, Inc., in Calgary, and David P Craig, through Reservoir Development Consulting in Denver, have been designing, pumping, and analyzing DFIT for two decades using the techniques that we developed. The Piceance Basin picture above shows the well location of the first purposeful DFIT where the test objective was to estimate reservoir pressure and permeability. Many mini-fracs had been pumped in the same field for years to determine leakoff coefficients and fracture properties, but mini-frac data was not interpretted using DFIT analysis technology. DFITpro includes the classical DFIT analysis techniques, like the G-function and Nolte after-closure analysis, but DFITpro also includes the new well-test analysis workflow, which we developed and is by far the most robust analysis methodology. Using the well-test DFIT analysis workflow allows DFIT interpretations to be used with confidence to constrain permeability and pressure during production-history matching or rate-transient analysis.
Ultimately, we want DFITpro users to feel comfortable analyzing DFIT data with DFITpro cloud-based software, but when another opinion is necessary, we are available to consult on an interpretation for a nominal fee. For smaller operating companies without the in-house expertise, we can also design a DFIT, supervise the pumping, and analyze the data. Please contact us via email or call, and we’ll provide a bid for your well testing program.
DFITpro is much more than just water-based DFIT analysis. We can also design, pump, and analyze nitrogen fracture-injection/falloff tests (NFIT) in underpressured reservoirs, and we can design, pump, and analyze refracture-candidate diagnostic injection/falloff tests to evaluate a reservoir prior to implementing a refracturing program.
Lastly, DFITpro also has a workflow for determining the number of producing fractures, fracture geometry, and fracture conductivity in a multi-fractured horizontal well. Contact us, and we will provide your company with all the details.
DFITpro is using the new cloud-based software delivery model, so we are also using a new software licensing model. In order to keep DFITpro software affordable for small independent operators, the pricing will be à la carte for the software required to complete the desired interpretation. The table shown below contains the pricing for 01 JAN 17 to 31 JAN 17.
|DFITpro Module||Price (Exluding Tax)||Payment Options|
|DFIT Design||Free||No cost, but requires registration and login|
|DFIT Data Load & Diagnostic Plots||$50 USD/well/test/month|
|DFIT Well-Test Analysis Workflow||$250 USD/well/test/month|
|DFIT Production Model (Analytical)||$300 USD/well/test/month|
|Production Data Load & NRD Diagnostic Plots||$50 USD/well/month|
For example, if a data download is obtained on 09 JAN 17, and an analyst needs to determine whether to terminate a test using a diagnostic plot, $50 USD will be charged to load the data and create the diagnostic plot(s). If the falloff data is recorded for another week until 16 JAN 17, and the test is terminated, analyzing the data set would require spending another $250 to complete the well-test analysis workflow.
For the example problem, the total cost for the DFIT analysis would be $300. For ten well tests during a year with the same procedure for each well, the total software expense would be only $3,000 USD, which in many cases will be significanly less than buying an annual license for other software packages, which often are programmed with DFIT analysis capabilities inferior to DFITpro.
After analyzing a DFIT, forecasting the production may be desirable, which requires the DFIT Production Module access, and an additional $300 charge. Thus, the total cost for state-of-the-art DFIT analysis and production forecast would be only $600. For ten well tests during a year with the same procedure for each well, the total software expense would be only $6,000 USD, which again may be less than buying an annual license for other software packages.
Of course, some companies may prohibit cloud-based software use, and some companies may prefer the traditional licensing route. We will evaluate those on a case-by-case basis, but DFITpro can be provided as an intranet (internal) solution, as an engine for custom software, or licensed annually for each installation. Please contact us, and we will find a way to add DFITpro to your company's tool chest.