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  1. Scientfic Optimization

    Scientfic Optimization

    Using advanced engineering methods to optimize drilling operation parameters
  2. Practical Optimization

    Practical Optimization

    Extracting Best Practices and Lesson Learns in previous wells
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Drilling Optimization

Using of a drilling rig is called a daily rig for drilling and completion, which is divided into productive-time and non-productive-time periods. The daily rent of a drilling rig forms a huge part of the daily cost of drilling operation, so reducing the drilling time is very important. Optimization of drilling operation refers to a set of management, engineering, and operational efforts that minimize PT times and eliminate NPT times.

What Distinguishes us

The Zagros Drilling Optimization Company, as the only knowledge-based company in the field of drilling operation optimization, uses expert and elite operational and academic experts to develop a comprehensive plan to optimize the entire drilling operation. To optimize the drilling parameters, all methods Business intelligence (practical optimization techniques, artificial intelligence, etc.) as well as engineering methods are used.

Drilling Optimization Services

The basis of drilling optimization is the use of offset wells data as well as real-time data as a base and the application of optimization methods on these data, in order to reduce the time to drill a well in future. Using these methods, the optimized drilling parameters is determined, followed by increased ROP and reduced the cost of drilling operation.

  • Integrate all data
  • Analysis of previous wells data with data mining and risk management
  • Using of mechanical energy and hydro-mechanical energy diagrams to find engineering problems in previous wells
  • Practical Optimization to Find Best Practices and Lesson Learns
  • Using artificial intelligence methods to predict the ROP
  • Using of scientific optimization techniques to find fully hydraulic and mechanical parameters
  • Comprehensive report for future drilling program every 50 meters

Hydraulic and Mechanical Energy

The ROP is influenced by many parameters such as bit type, bit nozzle size, drilling fluid pump rate, WOB, RPM, bit torque, drilling fluid properties, formation characteristics, rock mechanical parameters, and so on. In order to categorize these parameters in two categories of mechanical and hydraulic parameters, the ZDOC team, by considering the simultaneous optimization of these parameters, explains its plan for drilling optimization.

Hydraulic Parameters Optimization
50%
Mechanical Parameters Optimization
50%
Optimization of mechanical and hydraulic parameters together
100%

Practical

Optimization

50

Practical

Optimization

80

ROP

Prediction

100

Drilling Optimization Program

In the first step, the input of the wells should be entred and then the practical optimization is carried out. Using the outcomes of this step, the ROP can be greatly increased and the costs reduced. The main advantage of this section is that the data of the wells are based on reality and we can reuse them.

In the second step, the management of the drilling operation risks should be done taking into account all the cases of non-productive time of drilling operation that were previously involved and all strategic decisions to eliminate the risks and those that lead to additional costs for the NPT times.

In the next step, scientific optimization should be performed. After completing the practical optimization and risk and cost reduction decisions, the computational phase of the operation was initially analyzed by analyzing the geological status of the field, the total depth of the drilled is divided into several sections, and in each section the optimization formulas are developed, so that in each phase the Hydraulic and mechanical parameters will be determined. With practical and scientific computational data, the most suitable BIt type and the most appropriate BHA is also selected.

In the formulated program of this company, using practical optimization and scientific optimization methods, optimum data including WOB, RPM, TFA, Liner Size, SPP, SPM, Bit type, BHA type and more are determined by ROP prediction. This Parameters are selected as optimal initial data.

In the final stage, the method of optimizing mechanical and hydromechanical energy is used to improve the ROP using real time data. At this stage, it is necessary to obtain the output data from the Mud Logging Units  and use them to determine the best drilling parameters to increase the ROP and reduce costs.

Project Control

Drilling optimization is done comprehensively, taking into account all the conditions and using several optimization methods simultaneously and using the best results obtained from offset wells datain the desired field.

Design and optimization of pre-operation drilling program
100%
real-time optimization and project control by monitoring the correct application of parameters
100%
Final reports and graphs and improvement tables in compare to the best offset well
100%

Drilling Operation Risk Management

In this section, PT and NPT times are separated and appear in management graphs. In this section, non-productive times are divided into different groups based on the reason for the creation of these times. The analytical and comparative graphs are plotted at different times.

During the operation, risk management will take place over the next 24 hours. In this section, the information about the size of the hole, depth, etc., and the activity of the next 24 hours, based on the actual performance of the same day and planned risks and potential hazards in each depth and formation, as well as methods for identifying risks and how to deal appropriately risk control if it occurs

Drilling Costs Management

The costs of different parts of the drilling operation should be taken into account in relation to the services and operations performed per day, and the daily drilling costs are calculated and  calculating cumulative costs, cost per length, comparison charts Productive and non-productive costs, analysis of the reasons for reducing the cost of productive and non-productive will be done.