How can you evaluate DST for exploration wells?

1 1. Prepare the data

Before you can analyze the DST data, you need to prepare it for quality control and interpretation. This involves checking the accuracy and consistency of the measurements, such as pressure, flow rate, temperature, and fluid samples. You also need to correct any errors or anomalies caused by factors such as instrument malfunction, wellbore storage, skin effect, or partial penetration. You can use various software tools and methods to perform these tasks, such as pressure derivative plots, type curves, or material balance equations.

2 2. Interpret the data

Once you have prepared the data, you can interpret it to estimate the reservoir properties and performance. This involves using analytical or numerical models to fit the data and calculate parameters such as average reservoir pressure, permeability, skin factor, well deliverability, and fluid properties. You can also use the data to identify reservoir features, such as boundaries, faults, fractures, or heterogeneities. You can use different types of models depending on the flow regime, the reservoir geometry, and the fluid behavior. For example, you can use radial flow models for homogeneous reservoirs, linear flow models for fractured reservoirs, or compositional models for multiphase fluids.

3 3. Validate the data

After you have interpreted the data, you need to validate it to ensure its reliability and accuracy. This involves comparing the data with other independent sources of information, such as well logs, core samples, and seismic surveys. You can use various techniques to correlate the data and check for consistency and agreement. For example, you can use crossplots, histograms, or maps to compare the pressure, permeability, or fluid properties from different sources. You can also use sensitivity analysis to evaluate the impact of uncertainties and errors on the data.

4 4. Apply the data

Finally, you can apply the data to make decisions and recommendations for the exploration well and the reservoir development. This involves using the data to evaluate the economic potential, the technical feasibility, and the environmental impact of the well and the reservoir. You can use various tools and methods to perform these tasks, such as decline curve analysis, reservoir simulation, net present value analysis, or risk assessment. You can also use the data to optimize the well design, the completion strategy, and the production plan.

5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?