Most reservoir engineers with more than 20 or 30 years experience have probably made pseudo relative permeability curves (or pseudo curves for short) at one point or another in their careers.
The use of pseudo curves was widespread back in the days when computer power was particularly costly and slow. Nowadays the art of making pseudo curves is becoming a forgotten trick of the trade, it seems.
But with small simulators such as ExcSim, pseudo curves provide indispensable ways to capture specific physical behavior accurately, even in coarse reservoir models.
The video below demonstrates an easy and quick way to generate such pseudo curves. The simulation model is a 5-layered model with varying petrophysical properties, and is controlled by constant bottom hole pressure at both the injection and production sides of the model.
Figure 2 Video: Making Pseudo Curves With ExcSim
Most reservoir simulators treat horizontal wells as if they were vertical wells tipped sideways and assume that fluid flows along straight radial lines. The pressure isobars near the well will consequently look like perfect cylindrical surfaces. This, of course, does not fully take into account the true three dimensional complexity.
Not surprisingly, ExcSim does it the right way. Streamlines around a horizontal well come in from all directions. Consequently, pressure fields and well performances are very different from what the conventional approach predicts.
Figure 2 illustrates actual 3D isobars around horizontal wells.
ExcSim takes great care when it comes to computing near well pressure fields. This ensures that well performance predictions are as accurate as possible. Figure 3 illustrates a typical case.
DEFINING HORIZONTAL WELLS IN EXCSIM
Any well in ExcSim whose well name starts with the two letters HX will automatically be understood to be a horizontal well oriented in the X-direction. If the well-name starts with HY, it will be assumed to be horizontal in the Y-direction.
That's all there is to it! Easy-peasy-lemon-squeezy!
ExcSim takes care of all the rest. Horizontal wells in ExcSim extend across the entire length (or width) of well-blocks.
One of the most crucial decisions in any new oil field development project is to decide how many wells to drill. The optimal number of wells, of course, is a matter of economics. In this blog we are going to look at a quick method, based on analytical exponential theory, to answer that question by maximizing the net present value (NPV). Although the method is simple, it is surprisingly accurate, practical and useful. It has proven to provide excellent starting points in many actual studies and projects. Try it out yourself, retrospectively, on any existing oil field developments - you will likely find the answers remarkably precise.
In the video at the bottom of this blog we will present the method in much more detail, and provide a graphical method to estimate the optimal number of wells.
Use the chart near the bottom to estimate the optimal number of wells. All you have to do is to calculate two terms, A and B, and read the well count directly from a chart at the point specified by (A,B). Just make sure that if the NPV discount rate, r, is the yearly discount rate, then the flow rates should also be yearly flow rates (i.e. multiply daily flow rates by 365.25).
UR = the ultimate volumetric recovery. The ultimate recovery is governed by the drive mechanisms, not by the number of wells. The reservoir is assumed to be connected, not compartmentalized, so a single well could in principle produce the UR. Many wells would not produce more than a single well, just faster.
r = NPV discount rate. It typically ranges from 0.05 to 0.15 and is normally set by management.
qp = the plateau rate.
Oilprice = the price of one volume unit (stb or Sm³) oil.
Costwell = the cost of drilling and completing one well.
Opexwell = The annual operating costs of one well.
To find the optimal number of wells, calculate A and B from the formulas above (also shown in the axis titles on the chart itself). Mark the point (A, B) in the chart below and identify the number of wells by selecting the representative colored curve. Alternatively, you can find the exact number of wells by iteration, as explained in the text-box in the chart itself.
The following video explains the method in greater detail. Enjoy!
You can find this video and many more at our YouTube channel.
To emulate a fractured well in ExcSim, follow these simple steps:
The skin value given in point 5. corresponds to an infinite conductivity fracture. Use a slightly higher skin (less negative) to account for any finite conductivity. Note, however, that very small increases in the skin factor may have significant impacts. A typical skin adjustment, to account for finite conductivity, would be in the +0.01 to +0.1 range.
A 2012 study, evaluating several GOM reservoirs, comparing various methods for modeling fractured wells (including use of skin factor, local grid refinement (LGR), and ExcSim's method), concluded that:
"Following [ExcSim's] method for infinite conductive fractures, we simulated the fractured vertical well for hydraulic fracture lengths of 75 ft and 200 ft and compared the results with the LGR method as shown in Figure 18 and Figure 19 respectively. They confirm that this up-scaling method provides an accurate estimate when the hydraulic fracture conductivity was 20000 md-ft. In Figure 20 it is shown how a realistic conductive fracture can be modeled by [ExcSim's] method by introducing a small skin factor."
It should be noted that to use this method on other simulators (other than ExcSim), the transmissibility multipliers given above must be multiplied by 1.47467 and the pressure equivalent radius, ro, must be set to 0.346 DX (where DX is the sides of the square grid blocks). See our blog on Peaceman for further details.
Reservoir simulators estimate fluid flow from grid block to grid block until the flow reaches a well somewhere in the simulation model. Inter grid block flow is approximated using Darcy's law, with one noticeable exception: Fluid flow from well blocks to wells within those grid blocks introduces some additional difficulties.
Peaceman (1978) noted that "in numerical reservoir simulation, the pressure calculated for a well block is the same as the flowing pressure at an equivalent radius, ro. For a square grid, ro = 0.2 ∆x."
The problem is that the equivalent radius should demonstrably be much greater than that. In fact:
where ∆x is the length of the sides of the square grid block.
The video above shows that Peaceman's correction does not solve the problem noted by Peaceman, it only glosses over it. And in doing so, it introduces the distinct error stated above. Failing to solve the problem correctly may cause significant errors in the calculated fluid saturations and viscosities in the well block.
Consequently, ExcSim does not use the Peaceman well correction at all. Instead, ExcSim attacks the cause of the problem and solves it by means of transmissibility corrections. See the video for details.
For square grid blocks the equivalent well block radius is given by Fig2, and the transmissibility multiplier is:
If the grid blocks are rectangular of size (A x B), then the transmissibility multiplier is a function of the ratio between the grid block sides, C=B/A.
The formula below gives the transmissibility multiplier for the colored edges of the well block.
The transmissibility multiplier for the other edges is found by inverting C, C’=1/C.
The equivalent well block radius for rectangular well blocks is given by Fig. 6 below
The following video shows how easy it is to make a cross sectional model in ExcSim.
The flexibility and power of Excel opens an infinity of possibilities for creative and innovative users. One of the more powerfull features is the possibility of using macros, ideal for automating repetitive tasks.
This video demonstrates and shows a simple macro for running uncertainty analyses. The macro works with both the Standard and Personal Editions of ExcSim and can be downloaded for free from here. Use it as an inspiration for your own taylor-made macros and uncertainty studies.
There is practically no limit to what you can do within the Excel framework. ExcSim is living proof of that!
Kick back and enjoy the movie!
We will demonstrate how to generate a structure map for your ExcSim simulations.
You trace the depth contours on an imported image of your reservoir and ExcSim does the rest. ExcSim will create a polynomial best fit surface that closely matches the contours of your map.
Check out this video:
The Contouring worksheet lets you generate numerical maps for input to the simulation model. The numerical maps will be 2-dimensional 35x35 matrices matched to contours traced by the mouse cursor.
The procedure for generating a map is as follows:
Have you ever wondered which recovery method to apply in any given case?
The obvious approach is first to understand how effective the various drive mechanisms are. ExcSim does that for you. ExcSim automatically gives you both the daily and cumulative effectiveness of the drive mechanisms, as shown below.
Furthermore, ExcSim gives you detailed and summarized drive mechanism contributions in tabulated numeric format, as shown below:
Next, you need to identify exactly where any remaining oil is located. ExcSim does that for you, too. One quick glance at the before and after images below and you'll know the answer to that question!
ExcSim even lets you play the recovery process forwards and backwards like a movie.
Thirdly, ask yourself whether you can improve the sweep by optimizing your well locations? ExcSim comes with an Excel macro (as a bonus example) that does just that, too!!!
A growing list of very useful macros can be downloaded for free. You can download and edit the macros (or write your own macro from scratch) to achieve whatever you heart desires.
ExcSim is the first choice for professional reservoir engineers - every time!