Overview of Leak-Off Test and Formation Integrity Test: Test Interpretation and Pitfalls.

ACS Omega

Department of Petroleum Engineering, King Fahd University of Petroleum & Minerals, 31261 Dhahran, Saudi Arabia.

Published: June 2024

Formation strength tests, such as formation integrity test (FIT), leak-off test (LOT), and extended leak-off test (XLOT), are crucial for maintaining wellbore stability. Wellbore stability issues are the main reason for nonproductive time (NPT) especially in the drilling operation. Therefore, it is important to understand the stresses around the wellbore to better interpret the formation strength tests. These tests are carried out to (i) test the casing shoe strength, (ii) estimate the minimum horizontal stress, (iii) derive the maximum horizontal stress, and (iv) estimate the fracture pressure gradient. By understanding the stresses around the wellbore and the results of the formation strength tests, engineers can make informed decisions about casing design, cementing practices, and drilling operations. This can help to prevent wellbore instability and NPT, which can save time and money. This study comprehensively reviewed, examined, and analyzed all the available tests currently employed in the field. The goal is to provide an in-depth understanding of each technique and to identify any potential limitations. A deep literature review was conducted to identify all the available tests. Each test was examined in detail to understand its purpose, methodology, and limitations. Then, the results of the tests were analyzed to identify any trends or patterns. The findings of the study were summarized and presented in this paper. Several factors were considered in the analysis of the tests such as formation permeability, formation strength, stresses around the wellbore, fluid properties, and mud type. The results of the study can be used to improve the understanding of formation strength tests and to develop more accurate and reliable methods for interpreting the results. The study considers several factors in the analysis of the tests, such as formation permeability, formation strength, stresses around the wellbore, fluid properties, and mud type. This is different from previous studies, which have often focused on a single factor or a small number of factors.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11190937PMC
http://dx.doi.org/10.1021/acsomega.4c01385DOI Listing

Publication Analysis

Top Keywords

formation strength
24
strength tests
16
stresses wellbore
16
leak-off test
12
tests formation
12
formation
10
tests
10
test
8
formation integrity
8
integrity test
8

Similar Publications

Background: In this study, we developed and validated machine learning models to predict primary aldosteronism (PA) in hypertensive East-Asian patients, comparing their performance against the traditional saline infusion test. The motivation for this development arises from the need to provide a more efficient and standardized diagnostic approach, because the saline infusion test, although considered a gold standard, is often cumbersome, is time-consuming, and lacks uniform protocols. By offering an alternative diagnostic method, this study seeks to enhance patient care through quicker and potentially more reliable PA detection.

View Article and Find Full Text PDF

Background: Chronic obstructive pulmonary disease (COPD) is characterized by airway inflammation, airflow limitation, reduced health-related quality of life (HRQL), and exercise intolerance. Pulmonary rehabilitation (PR) is essential for COPD management, but outcomes may be influenced by individual physiological factors. Cardiopulmonary exercise testing (CPET) measures oxygen pulse (O2P), an indicator of stroke volume, yet the impact of baseline O2P on PR effectiveness remains unclear.

View Article and Find Full Text PDF

Hippocampus in the mammalian brain supports navigation by building a cognitive map of the environment. However, only a few studies have investigated cognitive maps in large-scale arenas. To reveal the computational mechanisms underlying the formation of cognitive maps in large-scale environments, we propose a neural network model of the entorhinal-hippocampal neural circuit that integrates both spatial and non-spatial information.

View Article and Find Full Text PDF

Background: In emergency warning nursing, the pre-alert system significantly influences the biochemical markers and clinical outcomes of patients with Acute Stress Disorder. Therefore, this study applies hierarchical analysis to explore the impact of early warning nursing on crucial indicators such as C-reactive protein (CRP), procalcitonin (PCT), tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and assess their clinical efficacy.

Methods: The study selected patients with acute stress disorder who were hospitalized in Southwest Hospital of Chongqing from December 2021 to December 2022, and collected data from 250 patients.

View Article and Find Full Text PDF

Organic/Inorganic Hybrid Cross-Linked Gel Polymer Electrolyte for Optimizing the Solvation Structure of Lithium Ions.

ACS Appl Mater Interfaces

January 2025

Guangdong Key Laboratory for Hydrogen Energy Technologies, School of Materials and Energy, Foshan University, Foshan 528000, PR China.

Lithium metal electrodes inevitably lead to the decomposition of the liquid electrolyte and lithium dendrite growth, both of which result in the formation of unstable solid electrolyte intermediates (SEIs). Gel polymer electrolytes (GPEs) are expected to replace liquid electrolytes for optimizing the SEI issues of lithium metal. Herein, a cellulose-based gel electrolyte cross-linked by thiol-modified polyhedral oligomeric silsesquioxane (thiol-modified-POSS) was successfully obtained based on "thiol-ene" click chemistry.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!