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Reservoir or nonreservoir geomechanics is pivotal to drilling safe and fit-for-purpose boreholes that lead to sustainable operations in the well lifecycle. Accordingly, a 1D mechanical earth model (MEM) plays a crucial role in guiding the exploration to production lifecycle with applications ranging from mud-weight optimization to hydraulic fracture designing. While numerous other petrophysical logs are critical inputs to the MEM, sonic compressional (P) and shear (S) slowness play a direct role in model building, as several geomechanics parameters are derived using them. In cased holes, however, obtaining sonic waves data can be a challenge attributed to contaminated and poor cement behind the casing that creates a hindrance in processing capabilities. This work is a culmination of integrative data analysis based on ultrasonic flexural attenuation and sonic P&S logs that resulted in successful creation of 1D-MEM for an exploratory block in Pakistan. Extensive data gathering through logging was planned in multiple sections at Well X-1, which was the exploratory well in the block, to characterize formations. Likewise, MEM was critical to the success of future wells pertaining to wellbore stability study and optimum mud-weight window selection. Nevertheless, the hole condition in a 12.25-in. section did not encourage the acquisition of an openhole log and, therefore, an alternate strategy for logging in a cased hole was planned. Accordingly, comprehensive cement evaluation was performed using the flexural attenuation-based ultrasonic technology that azimuthally deciphers the material behind casing through solid-liquid-gas mapping. This log is acquired in combination with omnidirectional sonic-based measurements (CBL-VDL). Next, acquisition of acoustic attenuation-based sonic measurements was conducted to obtain P&S slowness for 1D-MEM creation. Finally, using a methodical workflow, integration of the multiple cement evaluation measurements was done to delineate zones of processing for validity of P&S waves. Point-forward, MEM creation, and porosity estimation was performed with meaningful insights. Analyzing sonic cement logs in silo caused doubts on the cement quality because of high CBL amplitude representative of low-quality cementing. Therefore, the traditional approach of using CBL amplitude led to the apparent low-quality flagging of P&S slowness across most of the interval. Integration of flexural-attenuation and sonic CBL allowed for systematic insights into the presence of wet microannulus, which otherwise would have been missed in the absence of ultrasonic measurements. This would have direct repercussions on the validity of P&S waves and ultimately on the 1D-MEM model. However, this integration enabled us to delineate the key intervals for P&S processing where cement placement was least affected. As a result, with minimum and maximum stress vectors, a 1D-MEM model was created that helped the operator to devise a drilling strategy for the next wells in the field. In addition, the P-waves computation also provided us with a reasonable estimate of porosity throughout the casing interval, which was initially not available because of poor hole condition. The importance of data-driven integrative analysis is vital to avoid loss of valuable insights from the acquired data. Ultimately, this paved the way for designing efficient drilling and wellbore stability strategies in future appraisal/development wells in the area.
Reservoir or nonreservoir geomechanics is pivotal to drilling safe and fit-for-purpose boreholes that lead to sustainable operations in the well lifecycle. Accordingly, a 1D mechanical earth model (MEM) plays a crucial role in guiding the exploration to production lifecycle with applications ranging from mud-weight optimization to hydraulic fracture designing. While numerous other petrophysical logs are critical inputs to the MEM, sonic compressional (P) and shear (S) slowness play a direct role in model building, as several geomechanics parameters are derived using them. In cased holes, however, obtaining sonic waves data can be a challenge attributed to contaminated and poor cement behind the casing that creates a hindrance in processing capabilities. This work is a culmination of integrative data analysis based on ultrasonic flexural attenuation and sonic P&S logs that resulted in successful creation of 1D-MEM for an exploratory block in Pakistan. Extensive data gathering through logging was planned in multiple sections at Well X-1, which was the exploratory well in the block, to characterize formations. Likewise, MEM was critical to the success of future wells pertaining to wellbore stability study and optimum mud-weight window selection. Nevertheless, the hole condition in a 12.25-in. section did not encourage the acquisition of an openhole log and, therefore, an alternate strategy for logging in a cased hole was planned. Accordingly, comprehensive cement evaluation was performed using the flexural attenuation-based ultrasonic technology that azimuthally deciphers the material behind casing through solid-liquid-gas mapping. This log is acquired in combination with omnidirectional sonic-based measurements (CBL-VDL). Next, acquisition of acoustic attenuation-based sonic measurements was conducted to obtain P&S slowness for 1D-MEM creation. Finally, using a methodical workflow, integration of the multiple cement evaluation measurements was done to delineate zones of processing for validity of P&S waves. Point-forward, MEM creation, and porosity estimation was performed with meaningful insights. Analyzing sonic cement logs in silo caused doubts on the cement quality because of high CBL amplitude representative of low-quality cementing. Therefore, the traditional approach of using CBL amplitude led to the apparent low-quality flagging of P&S slowness across most of the interval. Integration of flexural-attenuation and sonic CBL allowed for systematic insights into the presence of wet microannulus, which otherwise would have been missed in the absence of ultrasonic measurements. This would have direct repercussions on the validity of P&S waves and ultimately on the 1D-MEM model. However, this integration enabled us to delineate the key intervals for P&S processing where cement placement was least affected. As a result, with minimum and maximum stress vectors, a 1D-MEM model was created that helped the operator to devise a drilling strategy for the next wells in the field. In addition, the P-waves computation also provided us with a reasonable estimate of porosity throughout the casing interval, which was initially not available because of poor hole condition. The importance of data-driven integrative analysis is vital to avoid loss of valuable insights from the acquired data. Ultimately, this paved the way for designing efficient drilling and wellbore stability strategies in future appraisal/development wells in the area.
For over seven decades, Pakistan's oil and gas industry has been a cornerstone of its energy sector, boasting an excellent safety record. However, despite this, there remains a notable absence of published case studies regarding well integrity within this sector. This paper aims to fill in this gap by delineating the journey of a leading NOC in Pakistan, Pakistan Petroleum Limited (PPL), towards adopting Well Integrity Management System. It highlights PPL's unique approach in leveraging in-house software solutions to elevate WIMS maturity from basic regulatory compliance to a data-driven system preventing well asset integrity failures via inspection and maintenance. Delving into Pakistan's oil and gas sector history exposes significant challenges in maintaining well integrity and reliability despite technological advancements. PPL initiated its approach with an organizational health check, analyzing management, technical, and personnel domains to identify gaps, duplication & redundancies in WIMS. This included reviewing existing documents, conducting discussions with asset and field operation teams, and addressing data related issues for improved visibility & transparency. Four main areas were focused on with respect to WIMS implementation including defining well operating envelope, determining well barrier status, risk ranking and application development for real time dashboard. Incorporating insights from international best practices & standards, and its own operational experience, PPL is in the process of implementing WIMS across diverse assets, such as HPHT exploratory wells and depleted gas fields. Key features of PPL WIMS framework are highlighted, including individual asset overview & monitoring, wellbore monitoring technologies, integrity evaluation methodologies, and regulatory compliance mechanisms. Development of risk analysis criteria is discussed which is based on the likelihood of failure of primary and secondary well barriers and its impact on overall well integrity. The apex of this initiative is the development of Pakistan 1st ever in-house user focused WIMS software which serves as an integrated platform to bridge in gaps with respect to data migration from multiple sources and formats, consistency in barrier status reporting and monitoring & KPI's with respect to well integrity for individual asset. This paper emphasizes the importance of continuous review and adjustments while managing a wide inventory of wells amidst changing operating conditions, addressing evolving well integrity challenges. As fields age, integrity challenges such as corrosion and souring evolve, necessitating real time monitoring, evidence-based decision making and response systems. Future-proof well integrity systems, based on fit-for-purpose guidelines and a flexible software framework, are crucial for adapting to unforeseen challenges and optimizing operational safety, environmental protection, production efficiency, and asset longevity.
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