{"id":1713,"date":"2021-07-30T02:34:43","date_gmt":"2021-07-30T02:34:43","guid":{"rendered":"https:\/\/ofgeomech.com\/ofg20\/?page_id=1713"},"modified":"2021-07-30T14:52:03","modified_gmt":"2021-07-30T14:52:03","slug":"pore-pressure-prediction","status":"publish","type":"page","link":"https:\/\/ofgeomech.com\/ofg20\/pore-pressure-prediction\/","title":{"rendered":"Pore Pressure Prediction"},"content":{"rendered":"\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:100%\">\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column is-vertically-aligned-top\" style=\"flex-basis:50%\">\n<p>Evaluating the magnitude of <strong><em>pore (or formation) pressure<\/em><\/strong> is central to a geomechanics investigation as <strong><em>pore pressure<\/em><\/strong> controls the <strong><em>effective normal stress<\/em><\/strong>, which largely controls rock deformation and failure. A central objective to <em>pore pressure prediction (PPP)<\/em> is to prevent the risk and expense of kicks, blowouts, lost circulation and stuck pipe for drilling applications, though it is also critical for reservoir operations.<\/p>\n\n\n\n<p><strong><em>PPP<\/em><\/strong> is also a key parameter for hydraulic fracturing design, particularly in Unconventionals.<\/p>\n\n\n\n<p>State-of-the-practice methodologies, including the normal compaction trend (NCT) &#8211; Eaton\u2019s approach or unloading \u2013 Bower\u2019s method, are employed depending on the overpressure generation mechanisms and OFG experience.<\/p>\n\n\n\n<p>Critically, OFG works with its client to understand the limitation and inaccuracies of the common compaction-induced pressure estimation techniques (like Eaton\u2019s and Bower\u2019s methods) and the limitation of these for evaluating overpressuring associated with diagenetic changes in the rock.<\/p>\n\n\n\n<p>At the reservoir scale, <em><strong>PPP<\/strong><\/em> is often conducted using seismic interval velocities and wellbore-derived relationships (Eaton, Bowers).<\/p>\n\n\n\n<h4><strong>How is PPP Handled in Unconventionals?<\/strong><\/h4>\n\n\n\n<p><strong><em>PPP<\/em><\/strong> in Unconventionals is a very challenging task, both because of the ultra-low permeability that impedes a fast response of gas\/liquids inflows when drilling and because the dominant cause of overpressuring is diagenetic related \u2013 and not compaction induced (as assumed in, for example, Eaton&#8217;s equation). In most conventional plays, where pressure communication between the formation and the wellbore is rapid, kicks and inflows, when compared to the mudweight (both static and ECD), may provide a quality measure of formation pressure. However, <em>in Unconventionals, due to the low permeability, high overpressure may be present but no inflows are detected.<\/em> And, unfortunately, assuming the mudweight is an indicator of formation pressure in Unconventionals is common mistake.<\/p>\n\n\n\n<p>The high organic content of most Unconventional formations also tends to alter the petrophysical response, leading to a misinterpretation of pressure. So for Unconventionals we use:<\/p>\n\n\n\n<ul class=\"is-style-none\"><li> \u2022 Corrected Eaton using poroelasticity, a very detailed petrophysical model, and thermal maturity evaluations;<\/li><li>\u2022 Empirical equations based on TOC;<\/li><li>\u2022 Temperature vs effective stress relationships (a proxy for thermal maturity);<\/li><li>\u2022 Geomechanical back-analysis.<\/li><\/ul>\n\n\n\n<h4><strong>Real-Time (RT) Pore Pressure Detection<\/strong><\/h4>\n\n\n\n<p>OFG can also support <strong><em>RT PPP<\/em><\/strong> analyses and detection by streaming real-time data and importing into the models, comparing to pre-drill estimates, and developing alerts for corrections when needed. We will also use several pore pressure detection methods for calibration, such as D-exponent, LWD,&nbsp; and field indicators (e.g., connection gas, total gas, mud gas, ROP, PWD, and wellbore failure indicators such as cavings morphology).<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column\" style=\"flex-basis:50%\">\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" src=\"https:\/\/ofgeomech.com\/ofg20\/wp-content\/uploads\/2021\/07\/Picture21.png\" alt=\"\" class=\"wp-image-1741\" width=\"258\" height=\"372\"\/><figcaption><strong><em>PPP is critical for preventing surface hazards.<\/em><\/strong><\/figcaption><\/figure><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" src=\"https:\/\/ofgeomech.com\/ofg20\/wp-content\/uploads\/2021\/07\/Picture22.png\" alt=\"\" class=\"wp-image-1742\" width=\"386\" height=\"256\" srcset=\"https:\/\/ofgeomech.com\/ofg20\/wp-content\/uploads\/2021\/07\/Picture22.png 343w, https:\/\/ofgeomech.com\/ofg20\/wp-content\/uploads\/2021\/07\/Picture22-300x199.png 300w\" sizes=\"(max-width: 386px) 100vw, 386px\" \/><figcaption><strong><em>Sonic NCT (left) showing clear onset of overpressuring. Computed pore pressure (right, thin red curve) based upon Eaton&#8217;s equation.<\/em><\/strong><\/figcaption><\/figure><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" src=\"https:\/\/ofgeomech.com\/ofg20\/wp-content\/uploads\/2021\/07\/Picture23.png\" alt=\"\" class=\"wp-image-1743\" width=\"401\" height=\"286\" srcset=\"https:\/\/ofgeomech.com\/ofg20\/wp-content\/uploads\/2021\/07\/Picture23.png 343w, https:\/\/ofgeomech.com\/ofg20\/wp-content\/uploads\/2021\/07\/Picture23-300x214.png 300w\" sizes=\"(max-width: 401px) 100vw, 401px\" \/><figcaption><strong><em>Pore pressure prediction from a seismic cube.<\/em><\/strong><\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"666\" height=\"497\" src=\"https:\/\/ofgeomech.com\/ofg20\/wp-content\/uploads\/2021\/03\/Near_Wellbore_Rock_Samples.jpg\" alt=\"Rock samples - Near-Wellbore - Oilfield Geomechanics\" class=\"wp-image-683\" srcset=\"https:\/\/ofgeomech.com\/ofg20\/wp-content\/uploads\/2021\/03\/Near_Wellbore_Rock_Samples.jpg 666w, https:\/\/ofgeomech.com\/ofg20\/wp-content\/uploads\/2021\/03\/Near_Wellbore_Rock_Samples-300x224.jpg 300w\" sizes=\"(max-width: 666px) 100vw, 666px\" \/><figcaption><strong><em>Cavings can, at least qualitatively, be used for pore pressure prediction.<\/em><\/strong><\/figcaption><\/figure>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Evaluating the magnitude of pore (or formation) pressure is central to a geomechanics investigation as pore pressure controls the effective normal stress, which largely controls rock deformation and failure. A central objective to pore pressure prediction (PPP) is to prevent the risk and expense of kicks, blowouts, lost circulation and stuck pipe for drilling applications, &hellip; <a href=\"https:\/\/ofgeomech.com\/ofg20\/pore-pressure-prediction\/\" title=\"Pore Pressure Prediction\" class=\"read-more\">Read More<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/template-page-with-sidebar.php","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","spay_email":""},"jetpack_shortlink":"https:\/\/wp.me\/Pdi5Yu-rD","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/ofgeomech.com\/ofg20\/wp-json\/wp\/v2\/pages\/1713"}],"collection":[{"href":"https:\/\/ofgeomech.com\/ofg20\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ofgeomech.com\/ofg20\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ofgeomech.com\/ofg20\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ofgeomech.com\/ofg20\/wp-json\/wp\/v2\/comments?post=1713"}],"version-history":[{"count":0,"href":"https:\/\/ofgeomech.com\/ofg20\/wp-json\/wp\/v2\/pages\/1713\/revisions"}],"wp:attachment":[{"href":"https:\/\/ofgeomech.com\/ofg20\/wp-json\/wp\/v2\/media?parent=1713"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}