... the response generation, LLM operates based on the prompt, query, and retrieved context without any change in the model parameters, a process the authors term as “in-context learning.” Methodology Two experiments have been conducted: The first one is a few-shot multiple-choice experiment evaluated using...

...) Methodology PECGS is a petroleum engineering advisory system that helps operators improve the efficiency of PE and IWR candidate screening and intervention planning. PECGS automatically generates a list of underperforming wells along with recommendations for remedial actions. PECGS works by first evaluating...

... that synergizes rock typing and MLNN techniques. The depicted study workflow delineates a comprehensive process encompassing data preparation, detailed formation evaluation, advanced rock-typing methodologies, machine-learning model training, and accurate permeability prediction. Tailored specifically...

... into the calculation procedure. The complexity, coupled with field-data scarcity, results in the deficiency of work that evaluates point models on actual wells. In this work, the authors evaluated the performance of a few widely used multiphase-flow point-based models on actual field data using a marching algorithm...

... 2024 1 5 2024 Copyright 2023, Society of Petroleum Engineers operator knowledge management engineer data mining rigless intervention production enhancement integration database case study reservoir optimization expedite platform visualization platform evaluation history...

... by vertical injectors. Although most of the patterns are thermally mature, a few areas still are awaiting steamflood response. To mature these areas, a steam-assisted gravity drainage (SAGD) pilot was evaluated, customized, and implemented using existing patterns and well configurations. Mukhaizna Field...

... of steam cycles, increase oil recovery, and improve energy efficiency and carbon footprint. The CSS pilot was implemented in six wells of the Teca-Cocorna field (Fig. 1). Performance was evaluated in terms of incremental oil, carbon intensity, and energy efficiency. A similar approach was proposed...

... the authors to evaluate surfactants more holistically, with an emphasis on testing at Eagle Ford reservoir conditions. The first set of experiments involved fluid-stability tests, contact-angle measurements, interfacial-tension (IFT) measurements, static spontaneous-imbibition experiments, and completion...

... of concept development to achieve minimum technical requirements while providing better clarity in cost/risk tradeoff through concept evaluation in a staircase manner. The process of executing D2V for marginal field development while managing technical risks is detailed in the following subsections for both...

... with evaluation of stress and expected fracture orientation. With this information, an FH pathway can be inferred between the infill and the parent wellbore. Collating this information assists in the generation of a map that captures all FH events with the extension of this analysis to all stages and parent wells...

... in an underexplored field, with minimal offset wells to properly evaluate its potential. A multidomain approach is proposed leveraging different types of expertise to tackle the petrophysical and geomechanical aspects of the fracture system governing the carbonate layer and assess its producibility and qualification...

... and calibration of resulting 2D thermal models. Methods As a direct source of information for the initial evaluation of the post-Permian layers, surface geological maps, residual thickness maps, and structural information collected from the literature were examined. Next, four regional cross sections were...

... with blends of polymers, phosphonates, and phosphate esters to reduce chemical cost, treatment rates, and transport logistics, resulting in a more effective scale management program with a reduced operational footprint. To evaluate performance of a selected range of blended inhibitors, ChampionX performed...

..., Algar Geothermal; and Carlos Nascimento, SPE, Schlumberger. The paper has not been peer reviewed. _ The complete paper presents results from evaluation of the rate of thermal energy that can be extracted under various completion scenarios using a transient flow simulator. This evaluation was conducted...

... and assess insights into operational efficiency in an automated manner. The system allows for fast screening of waterflooding performance at diverse levels, enabling prompt identification of opportunities for immediate uptake into an opportunity-management process and for evaluation in an AI-driven...

... geothermal evaluation upstream oil & gas ocean energy blue economy gom aquaculture gulf coast TECHNICAL PAPERS | Offshore Facilities Legacy Gulf of Mexico Oil and Gas Facilities Hold Promise for Role in Blue Economy This synopsis presents portions of the results of a Department of Energy (DOE...

... 2022 Copyright 2021, Society of Petroleum Engineers upstream oil & gas enhanced recovery algorithm asset and portfolio management field-development optimization method benchmarked evaluation simulation artificial intelligence iteration reservoir field tested dqn...

...Chris Carpenter This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 202454,“Multisensor Time-Domain Electromagnetic Measurements for Quantitative Evaluation of Multibarrier Corrosion,” by Sushant Dutta, Pervaiz Iqbal, SPE, and Joseph Olaiya, Baker Hughes...

... testing horizontal well evaluation pressure transient testing pressure transient analysis pta result flow regime upstream oil & gas hydraulic fracturing flow period technical paper unconventional fracture parameter pressure derivative interpretation production data pfpm evaluation...

... reservoir surveillance drillstem/well testing production monitoring upstream oil & gas sectorization material-balance method fgiip variation evaluation estimation gas-cap zone pressure data technical paper history matching work flow modeling help generate reliable forecasting forecasting...