New Correlation for Iron Sulfide Stability in Crude Oil Desalting Plants Wastewaters
Notice bibliographique
Résumé
Abstract A common problem, which is critical to deep disposal of wastewaters, is deposition of scale in the pipelines, in the tubing, in the disposal well's perforations and in the receiving formation. Such deposition is attributed to incompatibility of the wastewaters being mixed or of mixture's interaction with the formation's rock and connate water. A generally good practice prior to injection is to do laboratory experiments to test the compatibility of these wastewaters. However, experience shows that compatibility tests do not reliably give an accurate indication of precipitation. Here, we show how to develop relevant correlations, which are useful for predicting precipitation of ions from such mixtures and then provide a practical example, which is for disposing different wastewaters collected from southwest Iranian desalting plants. Introduction In some Iranian oilfields, the production of salty wet crude is an important concern; many wells were shut in for lack of treating facilities. The water, which produced with this crude, is a water containing salts in a concentration of 150,000 to 220,000 ppm. Moreover, this crude contains particles of salt and stable salty water-in-oil emulsions. Treating this crude to remove salt and salty water is not an easy task [1]. Each treater has the following train of steps;an API separator separates free water from the crude,wash water and surfactant are mixed with the crude to form an emulsion,an emulsion-breaking surfactant is mixed with the emulsion, andan API separator separates free water from the crude. In practice for each treating plant, two or three treaters are placed in series to reduce the salt to an acceptable limit. However, for many wells' crude, such treating is inadequate. After much study, an electrostatic precipitator was added to one plant's treaters to remove droplets of water from the crude. This addition sufficed. Consequently, electrostatic precipitators were added progressively to Iran's treating plants and new treating plants were built. By the end of 2004 electrostatic precipitators had been installed in more than 20 treating plants; their total capacity is 207 Mm3/Day (1.3 MMSTB/Day) of treated crude. Yet new treating plants are being added to meet expected total production of wet crude, 400 Mm3/Day (2.5 MMSTB/Day) by year 2007. Figure 1 depicts the schematic of a typical treating plant in Iranian oil fields. The wastewater from a treating plant has volume, which typically is about 15% of the crude being treated and contains about two-thirds formation water and onethird wash water. The wastewater treated before it is injected into disposal wells; the wastewater treating system consists of a skimmer tank, API gravity separator, filter, and disposal tank. However, the water from one formation differs from that from another. Experience shows that when one treated wastewater is mixed with another, then deposition of scale in the pipelines, in the tubing, in the disposal well's perforations and in the receiving formation may occur. When this occurs, such waters are said to be incompatible with one another.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».