... and workflows, underpinned by integrated surveillance including distributed temperature and acoustic fiber optic sensing (DTS/DAS), are used to optimize horizontal well completions. A case study is presented which demonstrates the technical merits and economic benefits of using this multidisciplinary approach...

... Abstract PDO's Khulud unconventional gas project is progressing from the Appraisal phase to the Pilot phase. This maturation of unconventional gas resources in PDO is resulting in revolutionary changes to completion designs as well as fracturing operational optimization. Safety and economic...

... Abstract Saudi Aramco, while developing the carbonate Khuff formation sought to continue increasing gas reserves for the Kingdom of Saudi Arabia. A recent optimization initiative was developed to tailor acid-fracturing fluid blends, including a nonionic microemulsion surfactant (ME), to reduce...

..., fracturing fluid optimization in HPHT environment, modified fluid design, stair-step ramping of the pumping schedule, engineered fracture design to achieve sufficient fracture length and conductivity and post-frac flow-back monitoring and assessment. hydraulic fracturing North Oman conductivity...

... layers present unique challenges to completion optimization. Quad-combo log data, including azimuthal density image data, was acquired using a Logging While Drilling (LWD) tool. Extensive log modelling was performed by combining the horizontal well logs with logs from its two offset vertical wells...

... vector regression and Coupled Simulated Annealing (CSA) optimization technique (LSSVM-CSA) for efficient tuning of SVR hyper parameters. The algorithm is applied to classify the stuck types, i.e., differential stuck or mechanical stuck. Performance analysis shows that LSSVM classifier has high accuracy...

... and uncertainty when developing new wells or optimizing production of extant wellbores. This paper walks through two case studies implemented in the Bakken and Pinedale assets in the United States, exemplifying data mining workflows that successfully improved hydrocarbon production. information artificial...

... between the desired and network’s output. The learning function works to minimize the current errors of all processing elements. During training process, modifying the weights and biases continues by applying the same training data set until an acceptable network accuracy reaches. Optimization program...