Reactivation and Underperformance Candidate Advisory

This dashboard provides an automated opportunity register for wells to be reactivated and list of underperforming wells for an engineer to optimize.

The interface includes ranking and summary tables of each well with analysis based on their historical production performance. In addition to technical KPIs, financial metrics are also included to supplement opportunity ranking and decision making. This dashboard for the engineering team gives an overview of the wells which can be screened based on:

  • Historical and recent Production data
  • Financial data (mainly lifting costs)
  • Different calculated scores
  • Pressure signals
  • Analysis plots and comparison metrics

Underperformance & Reactivation

Date, Field, Well Name, and Operated Class

This section filters the data to view specific month, areas, wells or operation ownership.  Note that this dashboard is updated monthly.

Well Count for Previous Month

This section provides pie charts to look at the previous month performance in Active / Inactive, Lift Type, and Primary Produced Phase.  Counting this way provides a quick overview of the field or area performance since the user can quickly see if there is an increase in inactive wells or increase of the active well count compared to the previous months.  Selecting a slice of the pie will filter the data to those wells.

Scores

The scores are the weighted sum of the underlying input features:

Underperformance scoring: Combined sum of production, problem and lifting scores normalized over all active wells.

    • Production Score: Historic and recent performance of the well.
    • Problem Score: Water cut and problematic classes in heterogeneity index plot.
    • Lifting score: Normalized lifting score
Reactivation scoring: Combined sum of last available scores, normalized over inactive wells.
    • Production Score: Historic and last available 6 months performance of the well.
    • Problem Score: Water cut and problematic classes in heterogeneity index plot.
    • Lifting score: Last available normalized lifting score

Performance Score

The final scores are the weighted sum of the underlying input features as follow

W1*Problem Score + W2*Production Score + W3*Economical Score

The weights can be customized as per customer preference as some client might prefer to give more weight to the economic data while other focus more on the technical score, however a default weight values can be used for the calculations (W1=0.2, W2=0.4 and W3=0.4).

Production Score

The Production Score gauges an entity’s production performance. It consists of:

  1. Recent production performance
  2. Normalized cumulative oil
  3. Initial oil rate

Problem Score

The Problem Score estimates the occurrence of various types of problems detected in the entity. It is comprised of:

  1. Water problems
  2. HI risk
  3. ABC indicator

Water problems are evaluated by taking the moving average of recent water cut and normalizing the values. Thus, the Problem Score would be higher on those wells with high water cut for the chosen time period (currently last 2 months which can be changed by the end user).

Heterogenity Index

The Heterogeneity Index is an analysis tool which compares the well performance with the average performance of a group of its offsets (can be formation/area/field..etc). The plot outputs 4 quadrants, each quadrant defines a category of wells with specific performance and recommendation for rig less or rig-based activity (like stimulation, water shut off etc.).

The Heterogenity Index formula used to calculate HI for each phase is

where: 

 The Heterogeneity Index normalizes the effects of the well's production lifetime and reservoir pressure. This allows assessing completion efficiency and reservoir quality of many producing wells. 

 

Lifting Cost

Lifting Cost is defined as: 

Current Performance Ranking 

The table shows a ranked list of active wells based on 3 metrics combined in the performance score. The underperforming wells, having the lowest score, will be ranked on the top of the table to get prioritized on the evaluation/routine of the engineer and so it helps to sort the wells recommended for review and optimization. The table also shows the trend of the score over time. 

Reactivation Candidates

The table shows a ranked list of inactive wells based on 3 metrics combined in the reactivation score. The inactive wells, having the highest score, will be ranked on the top of the table to get prioritized on the evaluation of the engineer and are recommended for reactivation. The table also shows the trend of the score over time. 

Wells Ranked By Average Oil Rate

This chart displays all the wells in the entity set ranked by highest oil rate.  Hovering over a bar will show the well's name and oil rate.

Lifting Cost Analysis By Well

This chart ranks all the wells in the entity set by lifting cost.  The lifting cost formula is above.  Hovering over a bar will display the well's name and lifting cost.  

The plot will help the user to spot immediately the wells having high lifting costs compared to the rest of wells and investigate the reasons and the possibilities to reduce its lifting costs.

Average Financial Input

This chart has a selector for either OPEX or Production.  

  • OPEX displays Net Opex vs. Lifting Cost
  • Production displays Production vs. Lifting Cost

The chart helps to investigate why the lifting costs for X well at Y time are high; is it because of higher OPEX or because of reduction in production. Accordingly, the user will take next steps in optimizing the well and reduce the lifting costs.

Monthly Average Production Rates

Production of Oil, Water and Gas over time broken down by average monthly production.

Wells Sized by Operating Class

This bubble map shows well classification. The larger the bubble the larger the class.  Hovering over a bubble will display well name as well as Operated and Non-operated.  The recommended use of this map is to use the filter on the left to either view the Operated or Non-operated wells.

Diagnostics

In the Diagnostics tab, the Filters and Current Performance Ranking and the Reactivation Candidates remain the same as the Underperformance & Reactivation Tab.  The Diagnostics Tab dives deeper into Heterogeneity Index, Completion, Casing, Tubing and Line Pressure, as well as Actual and Forecasted production rates.  

The Heterogeneity Index is an analysis tool which compares the well performance with the average performance of a group of its offset (can be formation/area/field .etc..). The plot outputs 4 quadrants, each quadrant defines a category of wells with specific performance and need certain treatment/management.

Heterogeneity Index Analysis

The HI equation is documented above.  

The Heterogeneity Index normalizes the effects of the well's production lifetime and reservoir pressure. This allows assessing completion efficiency and reservoir quality of many producing wells. 

The HI of the oil rate (HI_OilProd) is plotted against the HI of the water rate (HI_WatProd) on an XY scatter plot to help identify possible workover candidates for water control measures and acid simulation and fracturing as detailed in the bellow quad.

The diagram can be divided into four quadrants. The best performing wells would lie in the lower right quadrant with a HI for oil that is larger than zero and a HI for water that is smaller than zero, indicating a higher-than-average oil production and a lower-than-average water production. On the other hand, the worst performing wells lie in the upper left quadrant with lower-than-average oil production and higher-than-average water production. A well with such conditions needs further investigations and to be recommended as a water shut-off candidate.

HI Oil vs HI Water

Use the quad chart above for evaluating oil production performance and identifying potential workover candidates and underperforming wells.

HI Gas vs HI Water

Use the quad chart above for evaluating gas production performance and identifying potential workover candidates and underperforming wells.

(Cum Oil/Cum Uptime) Vs Completed Section

Cumulative oil / cumulative uptime defines "an effective" oil rate for each entity.  In order to compare performance of wells with different ages, Datagration normalizes the data by using uptime as a correction accounting for the same time period since two (2) entities can produce the same volumes but one in a short time period and one in a longer period.  In that example, the well producing in the shorter amount of time would be the better performer.  Perforation interval or completed lateral section length are also affecting the production performance as a longer section should result in higher production performance.

This plot compares the performance of wells having the same completed section length but have different performance.  Some wells will have the same completion length and have smaller effective oil rate compared to their peers.  These wells are considered underperforming.  The engineer can focus on these wells to optimize the production compared to expected.

Average Casing, Tubing, & Line Pressure

This graph shows the average pressure over time.

Actual & Forecast Volumes

This graph displays production over time as well as the forecast.