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A multitude of pseudo 3D and advanced 3D modeling software solutions are available for hydraulic fracturing optimization. These tools serve as indispensable aides for predicting fracture behavior, optimizing performance, and making informed decisions. This paper provides an overview and comparative analysis of the existing fracturing simulation techniques available and concludes practices for simulating the fracturing that helps achieving the optimum fracturing job execution. The comparative analyses were performed by using pseudo 3D and advanced 3D modelling software packages. All simulations were conducted in unconventional (<0.01 mD) and tight gas sandstone (0.1 – 1.0 mD). Each simulation revealed fracture behavior nuances specific to these reservoirs, providing valuable insights for informed decision. For the execution and data acquisition study, reliability and troubleshooting efficiency were used among the main criteria. Applications were grouped by geological and operational conditions. For the first-time users and experts, the selection process can be daunting. Each software package comes with its own algorithms, assumptions, and limitations. Understanding these nuances is crucial for accurate predictions and effective decision-making, as even experts face dilemmas. As they need to delve into complex reservoir scenarios, and grapple with questions like: Which simulator accounts for geomechanical effects most accurately? How does each tool handle fluid flow in heterogeneous formations? What computational trade-offs exist between pseudo 3D and advanced 3D models? Current research endeavors to bridge the knowledge or understanding gap. By meticulously comparing various fracturing software tools, aiming to: quantify performance, by evaluating predictive accuracy, computational efficiency, and scalability; probe assumptions, by uncovering hidden assumptions within each model; benchmark against field data, by validating simulations against more realistic fracture behavior; recommendations, by providing evidence-based recommendations for tool selection based on reservoir characteristics, operational constraints, and user expertise. This paper offers the readers a comparative analyses study that seeks to empower engineers, geoscientists, and decision-makers by unraveling the intricacies of fracturing software tools. Through rigorous analyses, it paves the way from raw data to informed decisions.
A multitude of pseudo 3D and advanced 3D modeling software solutions are available for hydraulic fracturing optimization. These tools serve as indispensable aides for predicting fracture behavior, optimizing performance, and making informed decisions. This paper provides an overview and comparative analysis of the existing fracturing simulation techniques available and concludes practices for simulating the fracturing that helps achieving the optimum fracturing job execution. The comparative analyses were performed by using pseudo 3D and advanced 3D modelling software packages. All simulations were conducted in unconventional (<0.01 mD) and tight gas sandstone (0.1 – 1.0 mD). Each simulation revealed fracture behavior nuances specific to these reservoirs, providing valuable insights for informed decision. For the execution and data acquisition study, reliability and troubleshooting efficiency were used among the main criteria. Applications were grouped by geological and operational conditions. For the first-time users and experts, the selection process can be daunting. Each software package comes with its own algorithms, assumptions, and limitations. Understanding these nuances is crucial for accurate predictions and effective decision-making, as even experts face dilemmas. As they need to delve into complex reservoir scenarios, and grapple with questions like: Which simulator accounts for geomechanical effects most accurately? How does each tool handle fluid flow in heterogeneous formations? What computational trade-offs exist between pseudo 3D and advanced 3D models? Current research endeavors to bridge the knowledge or understanding gap. By meticulously comparing various fracturing software tools, aiming to: quantify performance, by evaluating predictive accuracy, computational efficiency, and scalability; probe assumptions, by uncovering hidden assumptions within each model; benchmark against field data, by validating simulations against more realistic fracture behavior; recommendations, by providing evidence-based recommendations for tool selection based on reservoir characteristics, operational constraints, and user expertise. This paper offers the readers a comparative analyses study that seeks to empower engineers, geoscientists, and decision-makers by unraveling the intricacies of fracturing software tools. Through rigorous analyses, it paves the way from raw data to informed decisions.
One of the pillars of hydraulic fracturing services is the tailored supply chain workflows. Localization strengthens supply chain elements by procuring parts and services locally which plays a massive role in terms of pricing, lead time, and storage. This study addresses a case history located in KSA for a hydraulic fracturing operations start-up and evaluates how effective supply chain management can result in a significant synergy and improved service delivery of hydraulic fracturing operations. The method starts by describing the fracturing operations start-up from zero to 200 plus employees and to building two complete heavy-weight frac packages with capabilities to deliver high-end fracturing services at extreme pressure and temperature. A robust supply-chain organization, which includes the industry standards and business processes, enabled the supply-chain workflow to be more effective both internally within the company and externally. Key metrics that were considered in this study included cost reduction, lead time requirement and materials/product quality. The study will show how the solid and well-followed procurement standards led to cost and lead time optimization. Supply chain and logistics management for hydraulic fracturing encompasses the strategic procurement and efficient delivery of essential materials, optimized to minimize costs. A strategic plan was initiated to request proposals from local and international suppliers for a specific scope for the high-spend products. 24 vendors, out of 49 invited, submitted their proposals including technical data, prices, and incoterms. The result of the project led to a saving percentage exceeding 56% by selecting domestic chemical manufacturers and committing to a certain purchase over a planned operational period. Overall, materials cost from direct and indirect suppliers was reduced by more than 20% within 12 months period. Localization percentage has increased from 70% to 78% during first year of fracturing project start-up. A significant reduction of lead time was achieved through several initiatives including the reduction of in-kingdom stock. For instance, personal protective equipment supply process was reduced by more than 70%. This paper evaluates how effective supply chain, and procurement processes can positively reflect on fracturing operations start-ups. It also highlights the importance of localization in terms of materials supply and spare part and maintenance readiness.
Conventional approaches to bottom hole pressure (BHP) calculations often suffer from inaccuracy due to a significant number of uncertainties of the fluid and tubular properties in real field operations, leading to a non-optimized decision-making process during critical operations. This paper introduces a novel methodology for calibrating friction data to enhance the precision of BHP calculations specifically tailored for hydraulic fracturing applications. The proposed approach integrates real-time friction data acquisition with advanced computational techniques to calibrate friction coefficients and accurately model the frictional losses incurred during fluid injection into the reservoir. By incorporating comprehensive consideration of wellbore geometry, fluid rheology, proppant characteristics, and operational parameters, the calibrated friction data significantly improves the fidelity of BHP predictions. Although the workflow was calibrated with bottom hole gauges data, most statistical data come from standard completions without extra cost. A significant difference in the approach was made after selecting a representative group based on pressure behavior at shut-in events. Case studies illustrate the efficacy of the methodology in various hydraulic fracturing scenarios, showcasing its ability to optimize fracture designs, mitigate the risk of fracturing fluid diversion, and improve reservoir contact. Furthermore, the calibrated friction data facilitates the identification of potential wellbore integrity issues and enables proactive measures to enhance well performance and longevity. Considering the criticality of live decision-making for the expensive high-pressure high-temperature (HPHT) operations in the environment with operations being held within a narrow pressure window, the approach represents significant importance to fracture placement success and overall field development. The method allowed to reduce uncertainty in decision-making by more than 60%. Implemented in over 100 hydraulic fracturing treatments across various geological formations and operational conditions; it allowed placing flawlessly to completion by avoiding early flushing due to pressure uncertainties. Statistical analysis of the case studies from a diverse set of hydraulic fracturing scenarios, covering different reservoir types, depths, and fluid compositions revealed a mean absolute error reduction of 20% and a significant correlation coefficient improvement. The integration of friction data calibration into BHP calculations during hydraulic fracturing operations represents a significant advancement in reservoir engineering practices, enabling operators to make informed decisions, maximize production efficiency, and optimize asset performance. This paper contributes to the ongoing efforts to enhance the reliability and effectiveness of hydraulic fracturing operations in unlocking tight hydrocarbon resources in high-stress geological environments. An innovative approach based on water-hummer criteria was shown vital and reliable to optimize decision-making.
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